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A Conceptual Framework for Contextualizing Information Technology Competencies

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TLDR
The authors examined field agency expectations for technology literacy skills in new employees using a conceptual framework that organizes these desired skills of employees by categories including ability to record data, generate information, produce knowledge, and communicate.
Abstract
This study examines field agency expectations for technology literacy skills in new employees using a conceptual framework that organizes these desired skills of employees by categories including: ability to record data, generate information, produce knowledge, and communicate. Findings indicate that MSW graduates are expected to have the highest level of skills related to information and communication, and employers hold fewer expectations related to data and production of knowledge. These findings are concerning because data is the building block for information, knowledge, and communication skills, and social work education has a large knowledge component. Implications for social work education are suggested.

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Tweet, Tweet!: Using Live Twitter Chats in Social Work Education

TL;DR: In this paper, the authors focus on the use of Twitter and how it can be used to help students develop professional social work skills through live chats and provide an overview of the literature on Twitter in education along with a discussion on new media literacy.
Journal ArticleDOI

Assessing New Media Literacies in Social Work Education: The Development and Validation of a Comprehensive Assessment Instrument

TL;DR: In this article, the authors replicated the validity and reliability of a newly developed assessment tool for self-reported media literacy levels of social work students and educators, and found that a significant difference between the levels of new media literacy of students and teachers indicated that students were more engaged with new media.
Journal ArticleDOI

Social Media Use in Child Welfare Practice

TL;DR: This paper conducted a study of 171 child welfare workers across several states using an online survey and found that most respondents see social media as an acceptable tool for conducting child welfare assessments, and they described strains and benefits of social media use.
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Infographics as an assignment to build digital skills in the social work classroom

TL;DR: According to the theory of experiential learning, ideal learning happens in contexts that offer concrete experiences and active experimentation alongside abstract and reflective learning as mentioned in this paper, which is the case in our work.
Journal ArticleDOI

Technology Literacy and Student Practice: Lecturing Critical Evaluation Skills

TL;DR: In this paper, the authors aim to guide students to be able to think critically and in an evaluative manner towards their skills in using technological tools to support their academic tasks.
References
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Book

Structural Equation Modeling With Mplus: Basic Concepts, Applications, And Programming

TL;DR: Structural Equation Models: The Basics using the EQS Program and testing for Construct Validity: The Multitrait-Multimethod Model and Change Over Time: The Latent Growth Curve Model.
Book

Structural equation modeling with AMOS: basic concepts, applications, and programming

TL;DR: In this article, the EQS program is used to test the factorial verifiability of a theoretical construct and its invariance to a Causal Structure using the First-Order CFA model.
Journal ArticleDOI

Measurement, Design and Analysis: An Integrated Approach

TL;DR: A survey of approaches to measurement in socobehavioral research can be found in this paper, where the authors present a survey of the most common approaches to measuring in sociology research.
Book

Measurement, Design, and Analysis: An Integrated Approach

TL;DR: Aiming to remedy what they see as the fragmentary nature of texts on statistics, the authors of this textbook explore both design and analytic questions, and analytic and measurement issues.
Journal ArticleDOI

Likert scales, levels of measurement and the "laws" of statistics.

TL;DR: It is shown that many studies, dating back to the 1930s consistently show that parametric statistics are robust with respect to violations of these assumptions, and parametric methods can be utilized without concern for “getting the wrong answer”.
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