Christine Wusylko, Zhen Xu, K. Dawson, Pavlo D. Antonenko, Do Hyong (Ryan) Koh, Minyoung Lee, A. Benedict, S. Bhunia
{"title":"Using a comic book to engage students in a cryptology and cybersecurity curriculum","authors":"Christine Wusylko, Zhen Xu, K. Dawson, Pavlo D. Antonenko, Do Hyong (Ryan) Koh, Minyoung Lee, A. Benedict, S. Bhunia","doi":"10.1080/15391523.2022.2150726","DOIUrl":"https://doi.org/10.1080/15391523.2022.2150726","url":null,"abstract":"","PeriodicalId":47444,"journal":{"name":"Journal of Research on Technology in Education","volume":" ","pages":""},"PeriodicalIF":5.1,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47167843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A systematic review of conversational AI in language education: focusing on the collaboration with human teachers","authors":"Hyangeun Ji, Insook Han, Yujung Ko","doi":"10.1080/15391523.2022.2142873","DOIUrl":"https://doi.org/10.1080/15391523.2022.2142873","url":null,"abstract":"Abstract Despite the increasing use of conversational artificial intelligence (AI) in language learning, few studies explored how to develop collaborative partnership between AIs and humans. This systematic review examines empirical evidence of human-computer collaboration from 24 studies conducted in an AI-integrated language learning environment and published between 2015 and 2021. The roles of conversational AIs and teachers in each language learning phase with challenges of and suggestions for conversational AI-integrated language learning were identified. Although limited evidence for collaboration between conversational AIs and human teachers was found, future language education should integrate conversational AIs to promote intelligence amplification and decrease human teachers’ workload through classroom orchestration. The study concludes with guidelines and recommendations for teachers and AI researchers.","PeriodicalId":47444,"journal":{"name":"Journal of Research on Technology in Education","volume":"55 1","pages":"48 - 63"},"PeriodicalIF":5.1,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42512262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"What would the matrix do?: a systematic review of K-12 AI learning contexts and learner-interface interactions","authors":"R. Moore, Shiyan Jiang, Brian Abramowitz","doi":"10.1080/15391523.2022.2148785","DOIUrl":"https://doi.org/10.1080/15391523.2022.2148785","url":null,"abstract":"Abstract This systematic review examines the empirical literature published between 2014 and 2021 that situates artificial intelligence within K-12 educational contexts. Our review synthesizes 12 articles and highlights artificial intelligence’s instructional contexts and applications in K-12 learning environments. We focused our synthesis on the learning contexts and the learner-interface interactions. Our findings highlight that most of intelligent systems are being deployed in math or informal settings. Also, there are opportunities for more collaboration to facilitate teaching and learning in domain-specific areas. Additionally, researchers can explore how to implement more collaborative learning opportunities between intelligent tutors and learners. We conclude with a discussion of the reciprocal nature of this technology integration.","PeriodicalId":47444,"journal":{"name":"Journal of Research on Technology in Education","volume":"55 1","pages":"7 - 20"},"PeriodicalIF":5.1,"publicationDate":"2022-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45821384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Distributed interpretation – teaching reconstructive methods in the social sciences supported by artificial intelligence","authors":"B. Schäffer, Fabio Roman Lieder","doi":"10.1080/15391523.2022.2148786","DOIUrl":"https://doi.org/10.1080/15391523.2022.2148786","url":null,"abstract":"Abstract This article highlights teaching and learning in reconstructive research supported by artificial intelligence (AI) and machine interpretation in particular. The focus is whether the traditional teaching of methodological competence through research workshops can be supplemented with artificial intelligence (natural language processing, NLP) implemented in computer-assisted qualitative data analysis software (CAQDAS). A case study shows that AI models can be trained to interpret texts. Thus, distributed interpretation by humans and AI becomes possible, opening up new possibilities for teaching qualitative methods. How people deal with these new possibilities is presented based on an explorative evaluation of a group discussion with young researchers. Finally, this contribution discusses the possibilities and limits of this new form of interpretation together with a machine.","PeriodicalId":47444,"journal":{"name":"Journal of Research on Technology in Education","volume":"55 1","pages":"111 - 124"},"PeriodicalIF":5.1,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49360410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Engaging students via synchronous peer feedback in a technology-enhanced learning environment","authors":"Li-juan Cheng, John Hampton, Swapna Kumar","doi":"10.1080/15391523.2022.2142874","DOIUrl":"https://doi.org/10.1080/15391523.2022.2142874","url":null,"abstract":"","PeriodicalId":47444,"journal":{"name":"Journal of Research on Technology in Education","volume":" ","pages":""},"PeriodicalIF":5.1,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45029966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Topics, author profiles, and collaboration networks in the Journal of Research on Technology in Education: A bibliometric analysis of 20 years of research","authors":"Matthew L. Wilson","doi":"10.1080/15391523.2022.2134236","DOIUrl":"https://doi.org/10.1080/15391523.2022.2134236","url":null,"abstract":"","PeriodicalId":47444,"journal":{"name":"Journal of Research on Technology in Education","volume":" ","pages":""},"PeriodicalIF":5.1,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43609555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Selena Steinberg, M. Gresalfi, Lauren Vogelstein, C. Brady
{"title":"Coding choreography: Understanding student responses to representational incompatibilities between dance and programming","authors":"Selena Steinberg, M. Gresalfi, Lauren Vogelstein, C. Brady","doi":"10.1080/15391523.2022.2135144","DOIUrl":"https://doi.org/10.1080/15391523.2022.2135144","url":null,"abstract":"","PeriodicalId":47444,"journal":{"name":"Journal of Research on Technology in Education","volume":"1 1","pages":""},"PeriodicalIF":5.1,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41771079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Literature review of the reciprocal value of artificial and human intelligence in early childhood education","authors":"Lucrezia Crescenzi-Lanna","doi":"10.1080/15391523.2022.2128480","DOIUrl":"https://doi.org/10.1080/15391523.2022.2128480","url":null,"abstract":"Abstract This paper presents a systematic literature review of artificial intelligence (AI)-supported teaching and learning in early childhood. The focus is on human–machine cooperation in education. International evidence and associated problems with the reciprocal contributions of humans and machines are presented and discussed, as well as future horizons regarding AI research in early education. Also, the ethical implications of applying machine learning, deep learning and learning analytics in early childhood education are considered. The method adopted has five steps: identification of the research, evaluation and selection of the literature, data extraction, synthesis, and results. The results shown that AI applications still present limitations in terms of the challenges encountered in early childhood education and data privacy and protection policies.","PeriodicalId":47444,"journal":{"name":"Journal of Research on Technology in Education","volume":"55 1","pages":"21 - 33"},"PeriodicalIF":5.1,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41944268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"AI-assisted programming question generation: Constructing semantic networks of programming knowledge by local knowledge graph and abstract syntax tree","authors":"Cheng-Yu Chung, I-Han Hsiao, Yi-ling Lin","doi":"10.1080/15391523.2022.2123872","DOIUrl":"https://doi.org/10.1080/15391523.2022.2123872","url":null,"abstract":"Abstract Creating practice questions for programming learning is not an easy job. It requires the instructor to diligently organize heterogeneous learning resources. Although educational technologies have been adopted across levels of programming learning, programming question generation (PQG) is still predominantly performed by instructors without advanced technological support. This study proposes a knowledge-based PQG model that aims to help the instructor generate new programming questions and expand the assessment items by the Local Knowledge Graph and Abstract Syntax Tree. A group of experienced instructors was recruited to evaluate the PQG model and expressed significantly positive feedback on the generated questions.","PeriodicalId":47444,"journal":{"name":"Journal of Research on Technology in Education","volume":"55 1","pages":"94 - 110"},"PeriodicalIF":5.1,"publicationDate":"2022-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41923932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"At the intersection of human and algorithmic decision-making in distributed learning","authors":"P. Prinsloo, Sharon Slade, M. Khalil","doi":"10.1080/15391523.2022.2121343","DOIUrl":"https://doi.org/10.1080/15391523.2022.2121343","url":null,"abstract":"Abstract This article seeks to explore different combinations of human and Artificial Intelligence (AI) decision-making in the context of distributed learning. Distributed learning institutions face specific challenges such as high levels of student attrition and ensuring quality, cost-effective student support at scale using a range of technologies, such as AI. While there is an expanding body of research on AI in education (AIEd), this conceptual article proposes that combinations of human-algorithmic decision-making systems need careful and critical consideration, not only for their potential, but also for their appropriateness and ethical considerations. We operationalize a framework designed to consider robot autonomy at four key events in students’ learning journeys, namely (1) admission and registration; (2) student advising and support; (3) augmenting pedagogy; and (4) formative and summative assessment. We conclude the article by providing pointers for operationalizing options in human-algorithmic decision-making in distributed learning contexts.","PeriodicalId":47444,"journal":{"name":"Journal of Research on Technology in Education","volume":"55 1","pages":"34 - 47"},"PeriodicalIF":5.1,"publicationDate":"2022-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46540501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}