We study the incidence (rate of occurrence), persistence (rate of reoccurrence immediately after occurrence), and impact (effect on behavior) of students' cognitive-affective states during their use of three different computer-based learning environments. Students' cognitive-affective states are studied using different populations (Philippines, USA), different methods (quantitative field observation, self-report), and different types of learning environments (dialogue tutor, problem-solving game, and problem-solving-based Intelligent Tutoring System). By varying the studies along these multiple factors, we can have greater confidence that findings which generalize across studies are robust. The incidence, persistence, and impact of boredom, frustration, confusion, engaged concentration, delight, and surprise were compared. We found that boredom was very persistent across learning environments and was associated with poorer learning and problem behaviors, such as gaming the system. Despite prior hypothesis to the contrary, frustration was less persistent, less associated with poorer learning, and did not appear to be an antecedent to gaming the system. Confusion and engaged concentration were the most common states within all three learning environments. Experiences of delight and surprise were rare. These findings suggest that significant effort should be put into detecting and responding to boredom and confusion, with a particular emphasis on developing pedagogical interventions to disrupt the ''vicious cycles'' which occur when a student becomes bored and remains bored for long periods of time.

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Better to be frustrated than bored: The incidence, persistence, and impact of learners' cognitive-affective states during interactions with three different computer-based learning environments

Dynamics of affective states during complex learning

Confusion can be beneficial for learning

Coh-Metrix is among the broadest and most sophisticated automated textual assessment tools available today. Automated Evaluation of Text and Discourse with Coh-Metrix describes this computational tool, as well as the wide range of language and discourse measures it provides. Section I of the book focuses on the theoretical perspectives that led to the development of Coh-Metrix, its measures, and empirical work that has been conducted using this approach. Section II shifts to the practical arena, describing how to use Coh-Metrix and how to analyze, interpret, and describe results. Coh-Metrix opens the door to a new paradigm of research that coordinates studies of language, corpus analysis, computational linguistics, education, and cognitive science. This tool empowers anyone with an interest in text to pursue a wide array of previously unanswerable research questions.

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Automated Evaluation of Text and Discourse with Coh-Metrix

Can multimedia learning environments be designed to foster positive emotions that will improve learning and related affective outcomes? College students (N 118) were randomly assigned to 4 conditions created by 2 factors related to learners’ emotion: external mood induction (positive vs. neutral emotions) and emotional design induction (positive vs. neutral emotions). A computer-based lesson on the topic of immunization was used as multimedia learning material. Results indicate that applying emotional design principles to learning materials can induce positive emotions and that positive emotions in multimedia-based learning facilitate cognitive processes and learning. Controlling for the germane load of the materials, the internal induction of positive emotions through design of the materials increased comprehension and transfer, whereas the external induction of positive emotions through mood induction enhanced transfer but not comprehension. Positive emotions induced through mood induction significantly increased the amount of learners’ reported mental effort, whereas positive emotional design reduced the perceived difficulty of the learning task. Positive emotions increased motivation, satisfaction, and perception toward the materials. Mediation analyses suggest that the effect of positive emotions induced externally was mediated by both motivation and mental effort but found no mediators for emotion induced via emotional design, suggesting that positive emotional design has a more direct impact on learning than externally induced emotions. The study suggests that emotions should be considered an important factor in the design of multimedia learning materials.

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Emotional design in multimedia learning.

AutoTutor simulates a human tutor by holding a conversation with the learner in natural language. The dialogue is augmented by an animated conversational agent and three-dimensional (3-D) interactive simulations in order to enhance the learner's engagement and the depth of the learning. Grounded in constructivist learning theories and tutoring research, AutoTutor achieves learning gains of approximately 0.8 sigma (nearly one letter grade), depending on the learning measure and comparison condition. The computational architecture of the system uses the .NET framework and has simplified deployment for classroom trials.

B.C. Haynes

Papers

AutoTutor: an intelligent tutoring system with mixed-initiative dialogue