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Abstract Although the field of Artificial Intelligence in Education (AIEd) has a substantial history as a research domain, never before has the rapid evolution of AI applications in education sparked such prominent public discourse. Given the already rapidly growing AIEd literature base in higher education, now is the time to ensure that the field has a solid research and conceptual grounding. This review of reviews is the first comprehensive meta review to explore the scope and nature of AIEd in higher education (AIHEd) research, by synthesising secondary research (e.g., systematic reviews), indexed in the Web of Science, Scopus, ERIC, EBSCOHost, IEEE Xplore, ScienceDirect and ACM Digital Library, or captured through snowballing in OpenAlex, ResearchGate and Google Scholar. Reviews were included if they synthesised applications of AI solely in formal higher or continuing education, were published in English between 2018 and July 2023, were journal articles or full conference papers, and if they had a method section 66 publications were included for data extraction and synthesis in EPPI Reviewer, which were predominantly systematic reviews (66.7%), published by authors from North America (27.3%), conducted in teams (89.4%) in mostly domestic-only collaborations (71.2%). Findings show that these reviews mostly focused on AIHEd generally (47.0%) or Profiling and Prediction (28.8%) as thematic foci, however key findings indicated a predominance of the use of Adaptive Systems and Personalisation in higher education. Research gaps identified suggest a need for greater ethical, methodological, and contextual considerations within future research, alongside interdisciplinary approaches to AIHEd application. Suggestions are provided to guide future primary and secondary research.

Student engagement is critical for learning. However, little is known about engagement and disengagement and particular social groups. Recent research has alerted that engagement in technology-enhanced learning (TEL) settings may manifest differently than engagement in analogue learning settings. This study explores how different social groups of upper secondary school students (n= 410) engage and disengage when learning with digital technologies. We used an instrument to approach dimensions of engagement and disengagement in TEL. Using thematic analysis, we identified cognitive, emotional, behavioural and social aspects of engagement and disengagement in eight-student interviews which together with theory, informed a questionnaire. Using statistical methods, we explored the relationship between engagement, disengagement and the social categories: gamers, gender and non-native speakers. We found significant differences between the groups. For example: that high-frequency gaming students were not as easily distracted as students reporting low-frequency gaming, that female students engaged in TEL in different ways than male students, and that non-native speakers displayed significantly fewer tendencies to engage in unauthorised uses of digital technologies than native speakers. Identifying indicators reflecting engagement and disengagement in TEL in social groups can inform successful practices that stimulate student engagement and can be used to avoid, or redeem, group-specific challenges that trigger disengagement.

Children with cancer experience recurring hospitalizations and isolation during treatment, which affect their school attendance. This study explores experiences of children with cancer, their classmates, and teachers with using the telepresence robot as a learning mediator in the hybrid classroom during treatment periods. 31 children with cancer (aged 7-17 years), 30 teachers, and 118 classmates participated in interviews and 19 h of participant observations were undertaken in nine classrooms. The Agential Realism Theory and Situational Analysis framed the data analysis. There was a single overarching theme, "Telepresence robot didactic," and five sub-themes (Telepresence mediated learning, school-home collaboration, hybrid robot teaching, intra-actions in class, and inclusive spatiality). This study advocates the complexity of telepresence robot didactics, emphasizing that numerous human and other factors must intra-act and work simultaneously to achieve optimal learning conditions for children during cancer treatment. This includes considerations such as modality availability for the remote child; the teacher's understanding of telepresence robot didactic and hybrid learning; the classmate's ability to involve the remote child in groupwork; the child's own treatment protocol, the robot's functionalities, and spatiality in the class. Strategies for use and the systematic surveillance of telepresence robots are needed to ensure that children during cancer treatment do not lag in academic achievement. This study proposes that children with cancer can continue participating in class while hospitalized or isolated and consequently reduce social and academic setbacks.

Research informing adult education teachers' didactic practices in distance education is scarce. Approaching the adult learner's perspectives on how distance education is perceived is key to informing future initiatives. This study explores adult learners' perception of distance education, concentrating on aspects such as, social presence, course structure, and perceived learning and satisfaction. A survey was distributed to teachers (n = 78) in five schools organising adult distance education. Findings show that teacher accessibility and course structure correlated positively with social presence and perceived learning and satisfaction. Overall, adult learners are satisfied with their distance teaching. A challenge facing adult distance education is to create a sense of social presence despite the high demand for flexibility. Thus, we explored learner perceptions of benefits and challenges in distance education and structured these into social, cognitive, spatio-temporal, emotional, and technical dimensions. Findings reveal that one challenge in the social dimension was a lack of connection with peers, and a benefit in the cognitive dimension referred to autonomy and self-regulation. These findings are important as educational institutions and policymakers may strive for high flexibility, which in turn may lead to lower group cohesion and a lack of social presence.

Abstract As digitalisation spreads in education, it is vital to understand its relation to student engagement. We used student diaries and observation data to approach student engagement and explore the use of learning technologies on a lesson-to-lesson basis. Results show that a less thought-through use of technologies might lead to unconsidered effects. Positive indicators of the facilitation of student engagement included making the learning process accessible and visible to teachers.

Although the field of Artificial Intelligence in Education (AIEd) has a substantial history as a research domain, never before has the rapid evolution of AI applications in education sparked such prominent public discourse. Given the already rapidly growing AIEd literature base in higher education, now is the time to ensure that the field has a solid research and conceptual grounding. This review of reviews is the first comprehensive meta review to explore the scope and nature of AIEd in higher education (AIHEd) research, by synthesising secondary research (e.g., systematic reviews), indexed in the Web of Science, Scopus, ERIC, EBSCOHost, IEEE Xplore, ScienceDirect and ACM Digital Library, or captured through snowballing in OpenAlex, ResearchGate and Google Scholar. Reviews were included if they synthesised applications of AI solely in formal higher or continuing education, were published in English between 2018 and July 2023, were journal articles or full conference papers, and if they had a method section. 66 publications were included for data extraction and synthesis in EPPI Reviewer, which were predominantly systematic reviews (66.7%), published by authors from North America (27.3%), conducted in teams (89.4%) in mostly domestic-only collaborations (71.2%). Findings show that these reviews mostly focused on AIHEd generally (47.0%) or Profiling and Prediction (28.8%) as thematic foci, however key findings indicated a predominance of the use of Adaptive Systems and Personalisation in higher education. Research gaps identified suggest a need for greater ethical, methodological, and contextual considerations within future research, alongside interdisciplinary approaches to AIHEd application. Suggestions are provided to guide future primary and secondary research.

Student engagement is significantly related to both retention and learning outcomes. Hence, teachers need to consider how their practices affect student engagement. Applying design-based research (DBR), the purpose of this study was to approach influencers of student engagement and explore how teachers and researchers collaboratively could develop learning activities with learning technologies (LTs) to facilitate this. The intervention included an online assessment application, a virtual learning environment (VLE) and an additional tablet for the teacher. The teacher constantly carried the tablet around and used it to access the students’ shared workspace. The intervention was implemented in two classes in an upper secondary school. The study focuses on teachers’ experience and instruction. Three observations of the implementation of learning design and intervention evaluations were analysed. The results indicate that the teachers and researchers could design learning activities that facilitate student engagement. Engagement was facilitated as hindrances to engagement were identified and approached. The suggested solutions shaped the design of the learning activity and included LTs which provided insights into the students’ learning processes and thereby increased the teacher’s ability to scaffold learning and provide timely feedback. The LTs used opened up for additional ways for students to engage with the content, peers and contributions which motivated students to direct their energy toward task. When conditions for learning changed as a result of implementing LTs, both student interaction and teacher practices were affected. However, it was not observed that the teacher would sustain the design without support. This emphasises the need for educational goals and visions to be consistent and communicated to practitioners; otherwise, teachers will not have the guidance needed to advance or evaluate their professional development.