Computer‐assisted vocabulary instruction for students with disabilities: Evidence from an effect size analysis of single‐subject experimental design studies
The purpose of this study was to synthesize the effectiveness of computer‐assisted instruction (CAI) studies aiming to increase vocabulary for students with disabilities in an effort to identify what type of CAI is promising for practice. An extensive search process with inclusion and exclusion crit...
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Published in | Journal of computer assisted learning Vol. 34; no. 6; pp. 641 - 651 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Oxford
Wiley-Blackwell
01.12.2018
Wiley Subscription Services, Inc |
Subjects | |
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Abstract | The purpose of this study was to synthesize the effectiveness of computer‐assisted instruction (CAI) studies aiming to increase vocabulary for students with disabilities in an effort to identify what type of CAI is promising for practice. An extensive search process with inclusion and exclusion criteria yielded a total of 13 single‐subject design studies to be included in the present study. Effect sizes were calculated using a percentage of nonoverlapping data (PND). We also analysed instructional features (e.g., visual supports, auditory supports, font/color selection, and corrective and interactive feedback) from the studies that examined effective instructional design features of CAI. Results indicated (a) the highest PND mean was for secondary school‐aged learners with disabilities; (b) both tablet‐assisted instructions and nontablet‐assisted instruction produced high PND (i.e., highly effective); and (c) although the majority of selected studies included visual and auditory supports in CAI for vocabulary, none of the studies provided opportunities for customization (e.g., student selection of colors and fonts). On the basis of the findings, implications for future research and practice are discussed.
Lay Description
What is already known about this topic:
Technology as instructional aids provides students with disabilities with access to general education curriculum.
Students with disabilities can benefit from explicit instruction combined with computer‐assisted instruction or intervention.
Technology provides avenues for teachers to create learning opportunities and practices.
What this paper adds:
The use of visual images, animations, and graphics led to positive academic outcomes of students with disabilities.
The use of auditory supports was positively associated with the effectiveness of treatments.
Providing students with disabilities with a choice can improve their academic outcomes and motivation.
Customization makes computer‐assisted instruction or intervention adaptable for different levels of students with disabilities.
Implications for practice and/or policy:
Technology and evidence‐based practice might reduce the gap in achievement levels between students with and without disabilities.
Teachers should embed with explicit instruction that provides necessary support and structure for students with disabilities. |
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AbstractList | The purpose of this study was to synthesize the effectiveness of computer‐assisted instruction (CAI) studies aiming to increase vocabulary for students with disabilities in an effort to identify what type of CAI is promising for practice. An extensive search process with inclusion and exclusion criteria yielded a total of 13 single‐subject design studies to be included in the present study. Effect sizes were calculated using a percentage of nonoverlapping data (PND). We also analysed instructional features (e.g., visual supports, auditory supports, font/color selection, and corrective and interactive feedback) from the studies that examined effective instructional design features of CAI. Results indicated (a) the highest PND mean was for secondary school‐aged learners with disabilities; (b) both tablet‐assisted instructions and nontablet‐assisted instruction produced high PND (i.e., highly effective); and (c) although the majority of selected studies included visual and auditory supports in CAI for vocabulary, none of the studies provided opportunities for customization (e.g., student selection of colors and fonts). On the basis of the findings, implications for future research and practice are discussed. The purpose of this study was to synthesize the effectiveness of computer‐assisted instruction (CAI) studies aiming to increase vocabulary for students with disabilities in an effort to identify what type of CAI is promising for practice. An extensive search process with inclusion and exclusion criteria yielded a total of 13 single‐subject design studies to be included in the present study. Effect sizes were calculated using a percentage of nonoverlapping data (PND). We also analysed instructional features (e.g., visual supports, auditory supports, font/color selection, and corrective and interactive feedback) from the studies that examined effective instructional design features of CAI. Results indicated (a) the highest PND mean was for secondary school‐aged learners with disabilities; (b) both tablet‐assisted instructions and nontablet‐assisted instruction produced high PND (i.e., highly effective); and (c) although the majority of selected studies included visual and auditory supports in CAI for vocabulary, none of the studies provided opportunities for customization (e.g., student selection of colors and fonts). On the basis of the findings, implications for future research and practice are discussed. Lay Description What is already known about this topic: Technology as instructional aids provides students with disabilities with access to general education curriculum. Students with disabilities can benefit from explicit instruction combined with computer‐assisted instruction or intervention. Technology provides avenues for teachers to create learning opportunities and practices. What this paper adds: The use of visual images, animations, and graphics led to positive academic outcomes of students with disabilities. The use of auditory supports was positively associated with the effectiveness of treatments. Providing students with disabilities with a choice can improve their academic outcomes and motivation. Customization makes computer‐assisted instruction or intervention adaptable for different levels of students with disabilities. Implications for practice and/or policy: Technology and evidence‐based practice might reduce the gap in achievement levels between students with and without disabilities. Teachers should embed with explicit instruction that provides necessary support and structure for students with disabilities. The purpose of this study was to synthesize the effectiveness of computer‐assisted instruction (CAI) studies aiming to increase vocabulary for students with disabilities in an effort to identify what type of CAI is promising for practice. An extensive search process with inclusion and exclusion criteria yielded a total of 13 single‐subject design studies to be included in the present study. Effect sizes were calculated using a percentage of nonoverlapping data (PND). We also analysed instructional features (e.g., visual supports, auditory supports, font/color selection, and corrective and interactive feedback) from the studies that examined effective instructional design features of CAI. Results indicated (a) the highest PND mean was for secondary school‐aged learners with disabilities; (b) both tablet‐assisted instructions and nontablet‐assisted instruction produced high PND (i.e., highly effective); and (c) although the majority of selected studies included visual and auditory supports in CAI for vocabulary, none of the studies provided opportunities for customization (e.g., student selection of colors and fonts). On the basis of the findings, implications for future research and practice are discussed. What is already known about this topic: Technology as instructional aids provides students with disabilities with access to general education curriculum. Students with disabilities can benefit from explicit instruction combined with computer‐assisted instruction or intervention. Technology provides avenues for teachers to create learning opportunities and practices. What this paper adds: The use of visual images, animations, and graphics led to positive academic outcomes of students with disabilities. The use of auditory supports was positively associated with the effectiveness of treatments. Providing students with disabilities with a choice can improve their academic outcomes and motivation. Customization makes computer‐assisted instruction or intervention adaptable for different levels of students with disabilities. Implications for practice and/or policy: Technology and evidence‐based practice might reduce the gap in achievement levels between students with and without disabilities. Teachers should embed with explicit instruction that provides necessary support and structure for students with disabilities. |
Audience | Elementary Education Secondary Education |
Author | Park, Yujeong Moore, Tara Mize, Min Kyung |
Author_xml | – sequence: 1 givenname: Min Kyung surname: Mize fullname: Mize, Min Kyung organization: Winthrop University – sequence: 2 givenname: Yujeong orcidid: 0000-0001-9870-5233 surname: Park fullname: Park, Yujeong email: ypark@utk.edu organization: University of Tennessee – sequence: 3 givenname: Tara surname: Moore fullname: Moore, Tara organization: University of Tennessee |
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SubjectTerms | Academic Achievement Achievement Gap Animation Assistive Technology CAI Computer Assisted Instruction Curricula Design of experiments Disabilities Educational Media Effect Size Elementary School Students Evidence Based Practice Fonts Handheld Devices Instructional aids Instructional design Instructional Effectiveness Outcomes of Education Search process Secondary School Students single‐subject design Skill Development Student Motivation Students Students with disabilities Teachers Visual Aids Vocabulary Development vocabulary instruction Vocabulary Skills |
Title | Computer‐assisted vocabulary instruction for students with disabilities: Evidence from an effect size analysis of single‐subject experimental design studies |
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