Matt Bower

121 papers receiving 3.5k citations

Matt Bower's Hit Papers

How should we change teaching and assessment in response to increasingly powerful generative Artificial Intelligence? Outcomes of the ChatGPT teacher survey 2024 · 96 citations
960+4+8Years since publication100200300400

Peers

Matt Bower
Comparison fields: 5 of 130
  • Computer Science Applications 999
  • Human-Computer Interaction 541
  • Developmental and Educational Psychology 961
  • Education 1.8k
  • Health Informatics 55
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Countries citing papers authored by Matt Bower

Since Specialization
Citations

This map shows the geographic impact of Matt Bower's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Matt Bower with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matt Bower more than expected).

Fields of papers citing papers by Matt Bower

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matt Bower. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Matt Bower. The network helps show where Matt Bower may publish in the future.

Co-authors

The 25 scholars most cited alongside Matt Bower, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matt Bower Line = papers co-authored together Matt Bower links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Augmented Reality in education – cases, places and potentials
Hit paper breakdown →
2014467
2
Design and implementation factors in blended synchronous learning environments: Outcomes from a cross-case analysis
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2015331
3
Technology‐mediated learning theory
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2019192
4
How is the use of technology in education evaluated? A systematic review
Hit paper breakdown →
2019190
5 2008165
6 2015164
7 2017132
8 2020125
9 2020108
10 2010108
11 2016107
12
How should we change teaching and assessment in response to increasingly powerful generative Artificial Intelligence? Outcomes of the ChatGPT teacher survey
Hit paper breakdown →
202496
13 201265
14 201963
15 201758
16 201156
17 201954
18 201549
19 201144
20 200642

About Matt Bower

Matt Bower is a scholar working on Education, Developmental and Educational Psychology, Computer Science Applications, Information Systems and Media Technology, having authored 128 papers that have together received 3.8k indexed citations. Recurring topics across this work include Online and Blended Learning (50 papers), Innovative Teaching and Learning Methods (41 papers), Teaching and Learning Programming (21 papers), Online Learning and Analytics (18 papers), Experimental Learning in Engineering (16 papers), Educational Games and Gamification (12 papers), Open Education and E-Learning (11 papers) and Virtual Reality Applications and Impacts (10 papers). The work is most often cited by research in Computer Science Applications (999 citations), Human-Computer Interaction (541 citations), Developmental and Educational Psychology (961 citations), Education (1.8k citations) and Health Informatics (55 citations). Matt Bower has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Jennifer W. M. Lai, Barney Dalgarno, Mark J.W. Lee, David Grover, Gregor Kennedy, Jacqueline Kenney, Daniel Sturman, John Hedberg, Michael Stevenson and Maria Hatzigianni. Their work appears in journals such as British Journal of Educational Technology, Educational Media International, Education and Information Technologies, Computers & Education and Journal of Computer Assisted Learning.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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