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Andersen, Nico; Zehner, Fabian; Goldhammer, Frank – Journal of Computer Assisted Learning, 2023
Background: In the context of large-scale educational assessments, the effort required to code open-ended text responses is considerably more expensive and time-consuming than the evaluation of multiple-choice responses because it requires trained personnel and long manual coding sessions. Aim: Our semi-supervised coding method eco (exploring…
Descriptors: Foreign Countries, Achievement Tests, International Assessment, Secondary School Students
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Stadler, Matthias; Brandl, Laura; Greiff, Samuel – Journal of Computer Assisted Learning, 2023
Background: Over the last 20 years, educational large-scale assessments have undergone dramatic changes moving away from simple paper-pencil assessments to innovative, technology-based assessments. This comprehensive switch has led to some rather technical improvements such as identifying early guessing or improving standardization. Objectives: At…
Descriptors: Interaction, Measurement, Data Processing, Sustainability
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Bissonnette, Steve; Boyer, Christian – Journal of Computer Assisted Learning, 2022
Tingir et al. (2017) concluded from their meta-analysis that the subject areas taught through mobile devices had significantly higher achievement scores (d = 0.48) than the ones taught with traditional teaching methods. Given the relatively high positive effect of mobile devices on student achievement, we carefully analysed the selected research…
Descriptors: Meta Analysis, Electronic Learning, Handheld Devices, Academic Achievement
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Pham, Son T. H.; Sampson, Pauline M. – Journal of Computer Assisted Learning, 2022
Background: In fact, most schools around the world are not well equipped to have discussions and keep current on the expansion of artificial intelligence (AI) in many aspects of society and economy. They either ignore this conversation, or simply criticize technology, but these resistances are not stopping wide spread of various types of AI…
Descriptors: Artificial Intelligence, Preservice Teacher Education, Educational Change, Technology Integration
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Giménez, Almudena; Bordoy, Soraya; Sánchez, Auxiliadora; López-Zamora, Miguel; Sopena, Josep M.; Luque, Juan L. – Journal of Computer Assisted Learning, 2021
Difficulties in implementing effective instruction for at-risk students arise from two challenges: the transfer of evidence-based knowledge and the lack of economic resources. Computer-assisted programmes offer a suitable solution, providing quality instruction using low-cost resources. Thirty-two first-grade students with early learning…
Descriptors: Supplementary Education, Computer Assisted Instruction, Early Intervention, Prevention
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Schiavo, Gianluca; Mana, Nadia; Mich, Ornella; Zancanaro, Massimo; Job, Remo – Journal of Computer Assisted Learning, 2021
The paper presents the design of an assistive reading tool that integrates read-aloud technology with eye tracking to regulate the speed of reading and support struggling readers in following the text while listening to it. The paper describes the design rationale of this approach, following the theory of auditory-visual integration, in terms of…
Descriptors: Attention, Reading Aloud to Others, Technology Uses in Education, Reading Comprehension
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Gardner, John; O'Leary, Michael; Yuan, Li – Journal of Computer Assisted Learning, 2021
Artificial Intelligence is at the heart of modern society with computers now capable of making process decisions in many spheres of human activity. In education, there has been intensive growth in systems that make formal and informal learning an anytime, anywhere activity for billions of people through online open educational resources and…
Descriptors: Artificial Intelligence, Educational Assessment, Formative Evaluation, Summative Evaluation
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Abrami, Philip C.; Lysenko, Larysa; Borokhovski, Eugene – Journal of Computer Assisted Learning, 2020
ABRACADABRA (ABRA) is an evidence-based suite of interactive multimedia that engages learners in the development of core reading skills. This meta-analysis presents an update of the research evidence about the effectiveness of ABRA for elementary students. It reports 91 effect sizes in six reading-related outcomes for a sample of 7,388 students.…
Descriptors: Meta Analysis, Evidence Based Practice, Multimedia Instruction, Reading Instruction
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Woo, David James; Law, Nancy – Journal of Computer Assisted Learning, 2020
This paper explores the roles of information and communication technology (ICT) coordinators, using architectures for learning as the theoretical framework to identify (a) the structures and mechanisms utilized to decide the role of a coordinator and (b) those organized for the coordinator to realize a role within a school context of ICT-enabled,…
Descriptors: Information Technology, Coordinators, Role, Educational Technology
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Kassab, Mohamad; DeFranco, Joanna; Laplante, Phillip – Journal of Computer Assisted Learning, 2020
With close to 20.4 billion devices connected to the Internet to be deployed by 2020, Internet of things (IoT) is already being leveraged in diverse sectors. Now, because of the ubiquitous nature of IoT devices, schools and academic institutions are looking to incorporate IoT in educational activities. With the increased use of IoT in the education…
Descriptors: Internet, Teaching Methods, Decision Making, Technology Uses in Education
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Jong, Ton – Journal of Computer Assisted Learning, 2019
What is the best approach to educating students is, evidently, the pivotal question in educational research. In the general debate on this question, clear positions are often taken--for example, whether teacher-led instruction or more student-directed approaches should be followed. In the current narrative review, this central question and the…
Descriptors: STEM Education, Teaching Methods, Conventional Instruction, Learner Engagement
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Lubua, Filipo Gao; Kessler, Greg – International Journal of Computer-Assisted Language Learning and Teaching, 2022
This concept paper aims to introduce academic entrepreneurship as a subject of particular significance in the CALL field in the knowledge economy era. The article describes why the primary CALL practitioners--faculty and students--should invest their time, skills, and resources to pursue, identify, and exploit entrepreneurial opportunities and…
Descriptors: Entrepreneurship, Computer Assisted Instruction, Second Language Instruction, Knowledge Economy
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Stickler, Ursula; Hampel, Regine – International Journal of Computer-Assisted Language Learning and Teaching, 2019
This article explores the theoretical foundations of qualitative research in online language learning. It will look at the distinction between offline and online language learning and discuss whether different ways of knowledge generation are appropriate for those different learning environments. Quantitative and qualitative methodologies will be…
Descriptors: Qualitative Research, Second Language Learning, Online Courses, Educational Technology