Effects of different types of guidance on students' motivation and learning in a remote laboratory in computer science

During online learning, it is essential to provide instructional guidance to support learning. However, guidance can be given in different forms and quantities. Thus, one important challenge is to provide the right amount and type of instructional guidance. The aim of the study is to investigate typ...

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Published inComputer science education Vol. 33; no. 3; pp. 375 - 399
Main Authors Hawlitschek, Anja, Dietrich, André, Zug, Sebastian
Format Journal Article
LanguageEnglish
Published Norwood Routledge 03.07.2023
Taylor & Francis Ltd
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Abstract During online learning, it is essential to provide instructional guidance to support learning. However, guidance can be given in different forms and quantities. Thus, one important challenge is to provide the right amount and type of instructional guidance. The aim of the study is to investigate types of guidance which are effective for students with heterogenous programming knowledge and skills solving programming tasks in a remote laboratory. We carried out two studies with a single factor pre-post-design with guidance (basic/enhanced) as a between-subjects factor. In study 1, we implemented enhanced guidance in the form of prompts in the introduction to the tasks. Whereas we found no differences in learning outcome or extraneous cognitive load, students in the enhanced guidance group reported less intrinsic motivation, and logfiles revealed a lower programming performance. In study 2, we implemented enhanced guidance in the form of adaptive just-in-time explanations for error streaks. Enhanced guidance led to a lower extraneous cognitive load, and this way increased learning outcome. The type and timing of instructional guidance for students in computer science matters. More guidance is not better in each case. Instructional guidance should be tailored to students' needs.
AbstractList Background and ContextDuring online learning, it is essential to provide instructional guidance to support learning. However, guidance can be given in different forms and quantities. Thus, one important challenge is to provide the right amount and type of instructional guidance.ObjectiveThe aim of the study is to investigate types of guidance which are effective for students with heterogenous programming knowledge and skills solving programming tasks in a remote laboratory.MethodWe carried out two studies with a single factor pre-post-design with guidance (basic/enhanced) as a between-subjects factor.FindingsIn study 1, we implemented enhanced guidance in the form of prompts in the introduction to the tasks. Whereas we found no differences in learning outcome or extraneous cognitive load, students in the enhanced guidance group reported less intrinsic motivation, and logfiles revealed a lower programming performance. In study 2, we implemented enhanced guidance in the form of adaptive just-in-time explanations for error streaks. Enhanced guidance led to a lower extraneous cognitive load, and this way increased learning outcome.ImplicationsThe type and timing of instructional guidance for students in computer science matters. More guidance is not better in each case. Instructional guidance should be tailored to students’ needs.
During online learning, it is essential to provide instructional guidance to support learning. However, guidance can be given in different forms and quantities. Thus, one important challenge is to provide the right amount and type of instructional guidance. The aim of the study is to investigate types of guidance which are effective for students with heterogenous programming knowledge and skills solving programming tasks in a remote laboratory. We carried out two studies with a single factor pre-post-design with guidance (basic/enhanced) as a between-subjects factor. In study 1, we implemented enhanced guidance in the form of prompts in the introduction to the tasks. Whereas we found no differences in learning outcome or extraneous cognitive load, students in the enhanced guidance group reported less intrinsic motivation, and logfiles revealed a lower programming performance. In study 2, we implemented enhanced guidance in the form of adaptive just-in-time explanations for error streaks. Enhanced guidance led to a lower extraneous cognitive load, and this way increased learning outcome. The type and timing of instructional guidance for students in computer science matters. More guidance is not better in each case. Instructional guidance should be tailored to students' needs.
Background and Context: During online learning, it is essential to provide instructional guidance to support learning. However, guidance can be given in different forms and quantities. Thus, one important challenge is to provide the right amount and type of instructional guidance. Objective: The aim of the study is to investigate types of guidance which are effective for students with heterogenous programming knowledge and skills solving programming tasks in a remote laboratory. Method: We carried out two studies with a single factor pre-post-design with guidance (basic/enhanced) as a between-subjects factor. Findings: In study 1, we implemented enhanced guidance in the form of prompts in the introduction to the tasks. Whereas we found no differences in learning outcome or extraneous cognitive load, students in the enhanced guidance group reported less intrinsic motivation, and logfiles revealed a lower programming performance. In study 2, we implemented enhanced guidance in the form of adaptive just-in-time explanations for error streaks. Enhanced guidance led to a lower extraneous cognitive load, and this way increased learning outcome. Implications: The type and timing of instructional guidance for students in computer science matters. More guidance is not better in each case. Instructional guidance should be tailored to students' needs.
Audience Higher Education
Postsecondary Education
Author Hawlitschek, Anja
Dietrich, André
Zug, Sebastian
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  organization: Technische Universität Bergakademie Freiberg
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Snippet During online learning, it is essential to provide instructional guidance to support learning. However, guidance can be given in different forms and...
Background and Context: During online learning, it is essential to provide instructional guidance to support learning. However, guidance can be given in...
Background and ContextDuring online learning, it is essential to provide instructional guidance to support learning. However, guidance can be given in...
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SubjectTerms Between-subjects design
Cognitive Ability
Cognitive load
Cognitive Processes
Computer science
Computer Science Education
Design factors
Distance Education
Distance learning
Educational objectives
Educational Technology
Electronic Learning
Foreign Countries
Guidance
Instructional Effectiveness
online learning
Outcomes of Education
Programming
remote laboratory
Simulated Environment
Student Motivation
Students
Teaching Methods
Undergraduate Students
Title Effects of different types of guidance on students' motivation and learning in a remote laboratory in computer science
URI https://www.tandfonline.com/doi/abs/10.1080/08993408.2022.2029046
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