Showing papers on "Instructional design published in 2016"

The Determinants of Students’ Perceived Learning Outcomes and Satisfaction in University Online Education: An Update*

Abstract: A stream of research over the past decade that identifies predictors of e-learning success suggests that there are several critical success factors (CSFs) that must be managed effectively to fully realize promise for e-learning. Grounded in constructivist learning theories, this study advances previous work on CSFs in university online education. Structural equation modeling is applied to examine the determinants of students’ satisfaction and their perceived learning outcomes in the context of university online courses. The independent variables of motivation (intrinsic and extrinsic), student self-regulation, dialogue (instructor-student, and student-student), instructor, and course design are examined as potential determinants of online learning outcomes. A total of 372 responses from students who have completed at least one online course at a university in the Midwestern United States were used to examine the structural model. Findings indicate that instructor-student dialogue, student-student dialogue, instructor, and course design significantly affect students’ satisfaction and learning outcomes. However, both extrinsic student motivation and student self-regulation have no significant relationship with user satisfaction and learning outcomes. Finally, intrinsic student motivation affects learning outcomes but not user satisfaction. The findings suggest that course design, instructor, and dialogue are the strongest predictors of user satisfaction and learning outcomes.

Formative Interventions for Expansive Learning and Transformative Agency

Abstract: This article examines formative interventions as we understand them in cultural-historical activity theory and reflects on key differences between this intervention research tradition and design-based research as it is conceived in the learning sciences tradition. Three projects, including 2 Change Laboratories, are analyzed with the help of conceptual lenses derived from basic epistemological principles for intervention research in activity theory. In all 3 interventions, learners expansively transformed the object of their activity. The Change Laboratory cases, however, show that this learning process included productive deviations from the researchers’ instructional intentions, leading to significant outcomes, both practical and theoretical, that were not anticipated by the interventionists. Together these cases illustrate that an activity-theoretical formative intervention approach differs from design-based research in the following ways: (a) formative interventions are based on design done by the lea...

A meta-analysis of the effects of audience response systems (clicker-based technologies) on cognition and affect

Abstract: Audience Response Systems (ARS) are thought to be a good way of using technology to increase engagement in the classroom and have been widely adopted by many instructors seeking to improve academic performance through student engagement. While researchers have examined the degree to which they promote cognitive and non-cognitive learning outcomes in the classroom, most of their findings are largely mixed and inconclusive. This meta-analysis seeks to resolve the conflicting findings. Specifically, the meta-analysis compared classrooms that did, and did not use ARS-based technologies on different cognitive and non-cognitive learning outcomes to examine the potential effects of using ARS. Overall, we found small but significant effects of using ARS-based technologies on a number of desirable cognitive and non-cognitive learning outcomes. Further analysis revealed that knowledge domain, class size, and the use of clicker questions, are among factors that significantly moderated the summary effect sizes observed among the studies in the meta-analysis. These findings hold significant implication for the implementation of clicker-based technologies in the classroom. Clickers have a small but significant effect on cognitive learning outcomes.Clickers have a near medium effect on non-cognitive learning outcomes.These effects are moderated by a number of moderators.Findings have implication for instructional design and research.

Even Einstein Struggled: Effects of Learning About Great Scientists’ Struggles on High School Students’ Motivation to Learn Science

Abstract: Students’ beliefs that success in science depends on exceptional talent negatively impact their motivation to learn. For example, such beliefs have been shown to be a major factor steering students away from taking science and math courses in high school and college. In the present study, we tested a novel story-based instruction that models how scientists achieve through failures and struggles. We designed this instruction to challenge this belief, thereby improving science learning in classroom settings. A demographically diverse group of 402 9th and 10th grade students read 1 of 3 types of stories about eminent scientists that described how the scientists (a) struggled intellectually (e.g., made mistakes in investigating scientific problems, and overcame the mistakes through effort), (b) struggled in their personal life (e.g., suffered family poverty and lack of parental support but overcame it), or (c) made great discoveries (a control condition, similar to the instructional material that appears in many science textbooks, that did not describe any struggles). Results showed that participation in either of the struggle story conditions improved science learning postintervention, relative to that of students in the control condition. Additionally, the effect of our intervention was more pronounced for low-performing students. Moreover, far more students in either of the struggle story conditions felt connected to the stories and scientists than did students in the control condition. The use of struggle stories provides a promising and implementable instructional approach that can improve student motivation and academic performance in science and perhaps other subjects as well. (PsycINFO Database Record (c) 2016 APA, all rights reserved)

Applying learning theories and instructional design models for effective instruction

Abstract: Faculty members in higher education are involved in many instructional design activities without formal training in learning theories and the science of instruction. Learning theories provide the foundation for the selection of instructional strategies and allow for reliable prediction of their effectiveness. To achieve effective learning outcomes, the science of instruction and instructional design models are used to guide the development of instructional design strategies that elicit appropriate cognitive processes. Here, the major learning theories are discussed and selected examples of instructional design models are explained. The main objective of this article is to present the science of learning and instruction as theoretical evidence for the design and delivery of instructional materials. In addition, this article provides a practical framework for implementing those theories in the classroom and laboratory.

The design of smart educational environments

Abstract: This paper discusses the key characteristics of smart learning and the main challenges to be overcome when designing smart educational environments to support personalisation. In order to integrate smart learning environments into the learning ecosystem and educational contexts, innovative uses and new pedagogical approaches need to be implemented to orchestrate formal and informal learning. This contribution describes the main characteristics of smart learning and smart learning environments and sustains the relevance of taking the participation of future users into account during the design process to increase knowledge of the design and the implementation of new pedagogical approaches in smart learning environments.

Adaptive Motivation and Emotion in Education: Research and Principles for Instructional Design

Abstract: Students frequently experience various types of motivation and emotion that contribute to their engagement and learning. However, translating research on motivation and emotion into educational practice and policy has so far been limited. To facilitate greater synergy among research, practice, and policy, this overview addresses educationally relevant motivation and emotion. This summary discusses different forms of motivation or emotion, their relevant theoretical basis, evidence on how they relate to academic engagement and learning, and potential classroom supports for adaptive motivation and emotion. The article concludes with five instructional design principles that can guide educators and policymakers in promoting adaptive student motivation and emotion: (a) support students’ feelings of competence, (b) enhance autonomy, (c) use personally relevant and active tasks, (d) emphasize learning and de-emphasize social comparison, and (e) encourage feelings of belonging.

Instructional Design Theories And Models An Overview Of Their Current Status

Abstract: Thank you for reading instructional design theories and models an overview of their current status. Maybe you have knowledge that, people have look hundreds times for their chosen readings like this instructional design theories and models an overview of their current status, but end up in infectious downloads. Rather than enjoying a good book with a cup of coffee in the afternoon, instead they cope with some infectious virus inside their laptop.

Learning theories 101: application to everyday teaching and scholarship

Abstract: Shifts in educational research, in how scholarship in higher education is defined, and in how funding is appropriated suggest that educators within basic science fields can benefit from increased understanding of learning theory and how it applies to classroom practice. This article uses a mock curriculum design scenario as a framework for the introduction of five major learning theories. Foundational constructs and principles from each theory and how they apply to the proposed curriculum designs are described. A summative table that includes basic principles, constructs, and classroom applications as well as the role of the teacher and learner is also provided for each theory.

Rethinking the Boundaries of Cognitive Load Theory in Complex Learning

Abstract: In the traditional framework of cognitive load theory, it is assumed that the acquisition of domain-specific knowledge structures (or schemas) is the only instructional goal, and therefore, the theory is applicable to any instructional task. Accordingly, the basic concepts of intrinsic (productive) and extraneous (unproductive) types of cognitive load were defined based on the relevance (or irrelevance) of the corresponding cognitive processes that impose the load to achieving this universal instructional goal, and the instructional methods advocated by this theory are aimed at enhancing the acquisition of domain-specific schemas. The paper suggests considering this goal within the whole variety of possible specific goals of different learner activities that could be involved in complex learning. This would result in narrowing down of boundaries of cognitive load theory and have implications for distinguishing types of cognitive load, sequencing different goals and instructional tasks, considering the role of learner expertise, and other aspects of complex learning. One of the consequences of this reconceptualization is abandoning the rigid explicit instruction versus minimal guidance dichotomy and replacing it with a more flexible approach based on differentiating specific goals of various learner activities in complex learning. In particular, it may allow reconciling seemingly contradictory results from studies of the effectiveness of worked examples in cognitive load theory (supporting the initial fully guided explicit instruction for novice learners) and studies within the frameworks of productive failure and invention learning that have reportedly demonstrated that minimally guided tasks provided prior to explicit instruction might benefit novice learners.

The Larnaca Declaration on Learning Design

Abstract: The Larnaca Declaration on Learning Design arose from a 2012 meeting of experts in Larnaca, Cyprus who sought to provide a new theoretical foundation for the field of Learning Design, based on a synthesis of research and practice in the field to date. It begins by acknowledging the vast benefits that would arise from wider sharing of effective teaching practices, and it uses an analogy from the history of music notation to identify the need for a representational framework for describing teaching and learning ideas. It provides a range of examples of learning designs and different representational systems to illustrate the need for a “Learning Design Framework” (LD-F). It then acknowledges the wider educational context and its impact on design decisions by educators, and provides a “Learning Design Conceptual Map” (LD-CM) to identify contextual components and their interactions in design decisions. It concludes by discussing the philosophical and practical challenges of identifying and sharing effective teaching and learning ideas under the heading “Learning Design Practice” (LD-P).

Working Memory, Long-term Memory, and Instructional Design

Abstract: Cognitive load theory is used to design instruction. Several aspects of human cognition are critical to instructional design. First, the theory assumes we have not specifically evolved to learn the topics taught in educational and training institutions. Second, these topics require learners to acquire domain-specific rather than generic–cognitive knowledge. Third, while generic–cognitive knowledge does not require explicit instruction because we have evolved to acquire it, domain-specific concepts and skills do require explicit instruction. These factors interact with the capacity and duration constraints of working memory to delineate a cognitive architecture relevant to instructional design. The working memory limits do not apply to biologically primary, generic–cognitive knowledge acquired without explicit instruction but do apply to biologically secondary, domain-specific knowledge that requires explicit instruction. Accordingly, cognitive load theory has been developed to provide techniques that reduce unnecessary working memory load when dealing with explicitly taught, biologically secondary, domain-specific knowledge.

An Instructional Design Framework for Fostering Student Engagement in Online Learning Environments

Abstract: Many approaches, models and frameworks exist when designing quality online learning environments. These approaches assist and guide instructional designers through the process of analysis, design, development, implementation and evaluation of instructional processes. Some of these frameworks are concerned with student participation, some with motivation and some with student success. All these variables affect active participation and engagement of the student to some degree but the main concern is how to design online instruction conducive to high level of engagement. Therefore, this paper presents an instructional design framework along with a set of strategies that could be used to foster learner engagement in online learning. This framework is result of an extensive literature review on student engagement and is aimed at summarizing the results in a cohesive way for online instructors. For e-learning design and development to be successful online designers and instructors need better approaches to increasing student engagement and its authors hope that proposed framework provides such an approach.

Advances in the Science of Assessment

Abstract: Designing, developing, and administering assessments has remained fairly unchanged across the past century. However, recent developments in instructional technology, learning science theory, and advances in the design of assessments necessitate a newfound perspective on assessment. The objective of the present article is to review the topic of assessment in depth—past, present, and future. Specifically, we focus on the use of technologically rich learning environments that have spurred advances in student assessment, new methods and procedures from these advances, and consequently the need to consider implementing comprehensive assessment systems that provide rigorous and ubiquitous measurement of the whole student learning experience.

Balancing pedagogy, student readiness and accessibility: A case study in collaborative online course development

Abstract: As institutions of higher education continue to roll out online courses and programs, issues of undergraduate student readiness on the one hand, and the challenges surrounding the design and development of pedagogically-sound online experiences that are also accessible to students with disabilities on the other, remain of concern. This paper describes the results of a case study of collaboration between the Instructional Design and Technology faculty and the Assistive Technology Initiative (ATI) group at a 4-year public institution to address both of these issues simultaneously during the development of an online course designed to teach undergraduates to cultivate the self-discipline and self-direction required to become successful online learners. The authors of this paper discuss project challenges, particularly concerning accessibility, along with lessons learned from both a process and a student outcome perspective. The authors also share insights into creating sustainable collaborative processes for successful online initiatives.

Engaging preservice primary and preprimary school teachers in digital storytelling for the teaching and learning of mathematics

Abstract: A significant criticism made of preservice teacher education is that it fails to prepare teachers in such a way that they would feel confident in the use of information and communication technology ( ICT) in teaching, despite the assumed digital literacy of student-teachers and the children they will eventually teach. New technologies have enabled multimodal design and digital storytelling in meaning-making and communication and are now often instrumental and influential in shaping students' social practices and identities. The purpose of this study was to explore an integrative approach in applying ICT in learning with specific reference to the formation of mathematics teaching capability in preservice teachers. It takes into consideration student-teachers' lived experiences when introducing ICT supported learning into their classrooms as well as their exposure to related university courses such as educational technology, special didactics of mathematics and mathematics. This paper describes the instructional design framework and assessment criteria for mathematical problem solving and digital storytelling introduced to an ICT course for student-teachers. Based on the analysis of pre- and posttesting of the subjects' capabilities and reports of their perceptions, it is suggested that preservice teachers can efficiently develop their content knowledge in mathematics problem solving and that an integrative approach such as that described here may facilitate both mathematical problem-solving competences and pedagogical competences for applying digital storytelling in solving mathematical problems. The cohort of preservice teachers had no prior experiences of digital storytelling or multimodal design and perceived them as new practices. Their conceptions changed during the course from the passive recipients to active producers of media content. They demonstrated reflection relative to learning-by-design and representation modelling. They perceived digital storytelling as a strategy and means for empowering the 'student-voice' and the active construction of knowledge. The findings of the study contribute to preservice teacher education indicating that an integrated approach of instruction that deploys digital storytelling and multimodal design can help facilitate preservice teachers' pedagogical competencies and mathematical content knowledge. [ABSTRACT FROM AUTHOR]

Teachers' Formative Assessment Abilities and Their Relationship to Student Learning: Findings from a Four-Year Intervention Study.

Abstract: The teaching practices of recognizing and responding to students’ ideas during instruction are often called formative assessment, and can be conceptualized by four abilities: designing formative assessment tasks, asking questions to elicit student thinking, interpreting student ideas, and providing feedback that moves student thinking forward. While these practices have been linked to positive learning outcomes for students, designing and enacting formative assessment tasks in science classrooms presents instructional challenges for teachers. This paper reports on the results of a long-term study of high school biology teachers who participated in a 3 year professional development program, called the Formative Assessment Design Cycle (FADC), which guided them to iteratively design, enact, and reflect upon formative assessments for natural selection in school-based teacher learning communities. Nine teachers participated for three academic years; sources of data included teachers’ interpreting of student ideas in line with a learning progression, the formative assessment tasks they designed each year of the study, videotaped classroom enactment of those tasks, and pre-post test student achievement from the Baseline and final year of the study. Results indicate that, on average, teachers increased on all abilities during the study and changes were statistically significant for interpreting students ideas, eliciting questions, and feedback. HLM models showed that while only the quality of feedback was a significant predictor at Baseline, it was teachers’ task design and interpretation of ideas in Year 3. These results suggest the efficacy of the FADC in supporting teachers’ formative assessment abilities. Findings are interpreted in light of professional development and formative assessment literatures.

Analysing 157 learning designs using learning analytic approaches as a means to evaluate the impact of pedagogical decision making

Abstract: Educators need to change their practice to adapt to a shifting educational context. By visualising learning design decisions, this article highlights the need to capture educators' “tacit” knowledge relating to course material, activity types and workload, through employing learning analytics methods in order to analyse the learning designs of courses taken by 60,000+ students, common pedagogical patterns are identified. When analysing 157 learning designs using a taxonomy of seven different learning activities, we found that the majority of educators used two types of learning activities most widely, namely assimilative activities (reading, watching videos and listening to audio) and assessment activities. Surprisingly, educators do not choose different activity types based upon function (eg, replace one type of student-activating activity by another), but patterns can be seen where educators combine assimilative, productive and assessment activities or assimilative, finding and handling information and communication tasks. While educators rely heavily on assimilative and assessment activities, no positive correlation was found between any of the seven learning design activity types and student outcomes. Our initial findings suggest that student outcomes are negatively correlated with a high proportion of assimilative activities. Further studies are needed to establish whether particular learning design decisions are related to student outcomes and whether these findings can be replicated in different research settings.

Science Spots AR: a platform for science learning games with augmented reality

Abstract: Lack of motivation and of real-world relevance have been identified as reasons for low interest in science among children. Game-based learning and storytelling are prominent methods for generating intrinsic motivation in learning. Real-world relevance requires connecting abstract scientific concepts with the real world. This can be done by situating learning processes in real-world contexts, and by bridging the virtual content and the real world with augmented reality (AR). We combined these ideas into a Science Spots AR platform on which context-aware storytelling science learning games can be created. As proof-of-concept we developed and evaluated Leometry game, which contains geometry problems based on the Van Hiele model. This paper’s contributions are as follows: (1) concept and architecture of Science Spots AR, (2) design and implementation of the Leometry game prototype, and (3) mixed-method formative evaluation of Leometry with 61 Korean 5th grade elementary school children. Data retrieved by questionnaires and interviews revealed that the students appreciated Leometry despite its minor shortcomings, that the platform’s concept is feasible, and that there is potential for building science learning games. These results are useful to educators, computer scientists, and game designers who are interested in combining context-aware learning, AR, and games.

Designing for Engagement: Using the ADDIE Model to Integrate High-Impact Practices into an Online Information Literacy Course.

Abstract: In this article, the authors share how a team of librarians used the ADDIE instructional design model to incorporate best practices in teaching and learning into an online, four-credit information literacy course. In this redesign process, the Association of American Colleges and Universities’ high-impact practices and e-learning best practices were integrated as scaffolds for course content. The authors' experience with this systematic process and the concepts of instructional design suggest that the ADDIE model can be used to achieve several different ends in information literacy instruction. First, it can provide a structure around which librarians can develop a variety of instructional interactions. Second, it can help librarians consider student engagement, learning, and assessment more intentionally. And third, it can help to marry information literacy-specific standards and other learning guidelines, such as high-impact practices and e-learning best practices. From the authors' experience, other academic librarians may find applications for instructional design constructs into their own teaching practices, both in online and face-to-face learning environments.

Using the ADDIE Model of Instructional Design to Teach Chest Radiograph Interpretation

Abstract: Interpreting basic chest radiographs is an important skill for internal medicine residents to help them adequately diagnose and manage respiratory diseases. Educators need tools to ensure that they take a systematic approach when creating a curriculum to teach this, as well as other skills, knowledge, or attitudes. Using an instructional design model helps educators accomplish this task by giving them a guide they can follow to ensure that the curriculum meets the needs of the learners. Using the creation of a curriculum to teach chest radiograph interpretation as an example, this paper illustrates how educators can use the ADDIE model of instructional design to help develop their own curricula.

Motivation, Learning, and Technology: Applying the ARCS-V Motivation Model

Abstract: The ARCS-V model (an acronym for attention, relevance, confidence, satisfaction, and volition) contains a synthesis of motivational and volitional concepts and theories that provide a foundation for a motivational design process that has been validated in many contexts (Keller 2010). This paper begins with a listing of many of the technology applications and delivery system options that are now available to instructional designers and teachers, but then goes on to describe learner motivation challenges that still occur despite these innovations. Part 2, the major part of the paper, describes the ARCS-V motivational synthesis and how to apply it to identify motivational characteristics and problems of learners together with a systematic process for designing and implementing motivational solutions. This design approach includes a 10-step process as well as a simplified version of the process to aid in lesson and module planning. It also includes a self-reflective checklist that an instructor can use to identify which aspects of motivation are satisfactory and which require strengthening. The final part of the paper provides examples of motivational strategies and a case description of the motivational enhancement of an instructional module in three different delivery contexts: classroom instruction, blended learning, and eLearning.

Instructional design, facilitation, and perceived learning outcomes: an exploratory case study of a human trafficking MOOC for attitudinal change

Abstract: This exploratory case study describes the design and facilitation of a massive open online course (MOOC) for attitudinal change regarding human trafficking. It examines the course from the learners’, instructor’s, and instructional designer’s perspectives. Two interviews with the instructor and instructional designer were conducted, and data from a sample of learners via an end-of-course survey (n = 54) and follow-up questionnaire (n = 319) were gathered. Learners’ discussion posts and sample assignments were also reviewed. Findings show that the instructor and instructional designer perceived the design and facilitation of the MOOC as highly complex and challenging. Learner feedback was contradictory, possibly due to different expectations and needs within the MOOC. Six instructional design considerations for MOOCs in general and for attitudinal change are discussed, including: (a) MOOCs as a unique platform for attitudinal change, (b) the support needed from platform providers and universities, (c) personal and flexible learning paths, (d) instructional activities for attitudinal dissonance, (e) creating a collaborative community, and (f) MOOC instructor preparation.

Could a mobile-assisted learning system support flipped classrooms for classical Chinese learning?

Abstract: In this study, the researcher aimed to develop a mobile-assisted learning system and to investigate whether it could promote teenage learners' classical Chinese learning through the flipped classroom approach. The researcher first proposed the structure of the Cross-device Mobile-Assisted Classical Chinese CMACC system according to the pilot survey and reviewed literature, and then adopted a quasi-experimental design to understand whether the developed system could promote and support flipped classroom learning for classical Chinese. A total of 56 eleventh graders from two classes participated in the experiment. The learners in the experimental group learned classical Chinese with the flipped classroom learning strategy with the assistance of the CMACC system, while the control group adopted the flipped classroom learning strategy without using the CMACC system. The results reveal that all of the students improved their Chinese performance, but it was noticeable that the learners who used the CMACC system showed better motivation in terms of self-directed preview learning, while those who only learned with the traditional textbooks tended to be more passive. In sum, the mobile-assisted learning system added value in providing learners with opportunities to achieve anytime and anywhere flipped classroom learning. The integration of ubiquitous mobile learning technology and the flipped classroom strategy can be viewed as a critical factor leading to students achieving self-regulated learning. It is also suggested that instructors should carefully take the targeted learners' cultural background and the availability of supporting learning devices into consideration so as to prevent the flipped classroom from exacerbating the digital divide. Other suggestions for educators and instructional designers are also proposed.

The Evolution of Research on Digital Education

Abstract: How does AIE today compare to 25 years ago? This paper addresses this evolution by identifying six trends. The trends are ongoing and will influence learning technologies going forward. First, the physicality of interactions and the physical space of the learner became genuine components of digital education. The frontier between the digital and the physical has faded out. Similarly, the opposition between individual and social views on cognition has been subsumed by integrated learning scenarios, which means that AIED pays more attention today to social interactions than it did at its outset. Another trend is the processing of learners' behavioural particles, which do not carry very many semantics when considered individually, but are predictive of knowledge states when large data sets are processed with machine learning methods. The development of probabilistic models and the integration of crowdsourcing methods has produced another trend: the design of learning environments has become less deterministic than before. The notion of learning environment evolved from a rather closed box to an open ecosystem in which multiple components are distributed over multiple platforms and where multiple stakeholders interact. Among these stakeholders, it is important to notice that teachers play a more important role than before: they interact not only at the design phase (authoring) but also in the runtime phase (orchestration). These trends are not specific to AIED; they depict the evolution of learning technologies as a whole.

Modelling and Managing Learner Satisfaction: Use of Learner Feedback to Enhance Blended and Online Learning Experience

Abstract: A key concern for most institutions and instructors is whether students are satisfied with their learning experience. However, relatively few studies have unpacked what the key drivers for learner satisfaction are in blended and online courses. Using logistical regression modelling, learner satisfaction data of 62,986 learners in 401 undergraduate blended and online modules was analyzed. The data included over 200 potential explanatory variables based on learner and module learning design characteristics. Findings indicate that learning design has a strong and significant impact on overall satisfaction for both new and continuing learners. Learners who are more satisfied with the quality of teaching materials, assessment strategies, and workload are more satisfied with the overall learning experience. Furthermore, long-term goals of learners (i.e., qualifications and relevance of modules with learners’ professional careers) are important predictors of learner satisfaction. Individual learner characteristics are mostly insignificant, indicating that despite a wide diversity of learners studying at the Open University, UK, the underlying learning experiences are similar. Future research should focus on how learning design changes can enhance the learning experiences of students.

Implementation and evaluation of a formal academic-peer-mentoring programme in higher education:

Abstract: Formal mentoring programmes continue to gain popularity in higher education, mirroring trends in industry. The study described in this article examines the design features of a formal mentoring pro...

Learning outcomes of a MOOC designed for attitudinal change: A case study of an Animal Behavior and Welfare MOOC

Abstract: This study examines the case of an Animal Behavior and Welfare MOOC that specifically targeted attitudinal change in its learners. Attitudinal learning outcomes were evaluated using an author-developed survey with questions on perceptions in the four areas of attitudinal learning: General Learning, Cognitive Learning, Affective Learning, and Behavioral Learning. The survey also examined learner goals for enrolling in the course and their perceptions of the instructional methods implemented in the course. Results showed that learners perceived positive learning outcomes across all four areas. Statistically significant differences were found in relation to perceptions of attitudinal learning based on their reason for enrolling in the MOOC and its relation to attitude formation. There were also significant differences in learners' reasons for enrollment based on whether they intended to change animal welfare related behaviors due to their MOOC experience. Learners overwhelming indicated that the instructor videos were the most impactful instructional strategy regardless of whether they had a higher perception of learning, or a lower perception. Finally, learners with higher perceptions primarily enrolled in the MOOC in order to form a viewpoint on animal welfare, while lower perception learners enrolled to earn a formal certificate of completion. Implications are discussed for instructional design for attitude change as well as for the use of MOOCs for learning regarding social topics.

Measuring Cognitive Load in the Presence of Educational Video: Towards a Multimodal Methodology.

Abstract: The use of video has become well established in education, from traditional courses to blended and online courses. It has grown both in its diversity of applications as well as its content. Such educational video however is not fully accessible to all students, particularly those who require additional visual support or students studying in a foreign language. Subtitles (also known as captions) represent a unique solution to these language and accessibility barriers, however, the impact of subtitles on cognitive load in such a rich and complex multimodal environment has yet to be determined. Cognitive load is a complex construct and its measurement by means of single indirect and unidimensional methods is a severe methodological limitation. Building upon previous work from several disciplines, this paper moves to establish a multimodal methodology for the measurement of cognitive load in the presence of educational video. We show how this methodology, with refinement, can allow us to determine the effectiveness of subtitles as a learning support in educational contexts. This methodology will also make it possible to analyse the impact of other multimedia learning technology on cognitive load.