2019
DOI: 10.1080/08993408.2018.1564611
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A systematic literature review of student engagement in software visualization: a theoretical perspective

Abstract: Background and Context: In spite of the decades spent developing software visualization (SV), doubts still remain regarding their effectiveness. Furthermore, student engagement plays an important role in improving SV effectiveness as it is correlated with many positive academic outcomes. It has been shown that the existing SV has failed to engage students effectively. Objective: Therefore, there is a need to understand the theories behind SV design from the engagement perspective to produce a roadmap for futur… Show more

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Cited by 14 publications
(7 citation statements)
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References 65 publications
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“…For example, whilst 77% of articles reviewed by Henrie, Halverson, and Graham (2015) operationalised engagement from a behavioural perspective, most of the articles did not have a clearly defined statement of engagement, which is no longer considered acceptable in student engagement research (Appleton, Christenson, & Furlong, 2008;Christenson, Reschly, & Wylie, 2012). Linked to this, educational technology research has, however, lacked theoretical guidance (Al-Sakkaf, Omar, & Ahmad, 2019;Hew, Lan, Tang, Jia, & Lo, 2019;Lundin, Bergviken Rensfeldt, Hillman, Lantz-Andersson, & Peterson, 2018). A review of 44 random articles published in 2014 in the journals Educational Technology Research & Development and Computers & Education, for example, revealed that more than half had no guiding conceptual or theoretical framework (Antonenko, 2015), and only 13 out of 62 studies in a systematic review of flipped learning in engineering education reported theoretical grounding (Karabulut-Ilgu, Jaramillo Cherrez, & Jahren, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…For example, whilst 77% of articles reviewed by Henrie, Halverson, and Graham (2015) operationalised engagement from a behavioural perspective, most of the articles did not have a clearly defined statement of engagement, which is no longer considered acceptable in student engagement research (Appleton, Christenson, & Furlong, 2008;Christenson, Reschly, & Wylie, 2012). Linked to this, educational technology research has, however, lacked theoretical guidance (Al-Sakkaf, Omar, & Ahmad, 2019;Hew, Lan, Tang, Jia, & Lo, 2019;Lundin, Bergviken Rensfeldt, Hillman, Lantz-Andersson, & Peterson, 2018). A review of 44 random articles published in 2014 in the journals Educational Technology Research & Development and Computers & Education, for example, revealed that more than half had no guiding conceptual or theoretical framework (Antonenko, 2015), and only 13 out of 62 studies in a systematic review of flipped learning in engineering education reported theoretical grounding (Karabulut-Ilgu, Jaramillo Cherrez, & Jahren, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…There are some peculiar researches on improving the higher education processes and technologies in the multiple fields as like as estimation for specific characteristics and quality of internet sources of institution in higher education (Stativko, 2019), peculiarities of model that based on neural network for educational process and forming of teaching environment taking into account mathematical knowledge of various data and information development (Dimitrienko & Gubareva, 2018), different aspects of process and organizational modeling for institutions in system of higher education (Berestneva et al, 2017), forming of security complex on applying of innovative forms to institutions in sphere of education (Ilvitskaya et al, 2019), prospects of artificial intelligence implementation to mechanism of professional development (Romanova & Klashanov, 2019), assessment mechanism for quality match of graduates' competences with requirements of labour market (Rumyantsev et al, 2019), use of "6σ"-method for organization and management of processes in education (Kremcheeva & Kremcheev, 2019), informational technologies applying for management enhancing at institutions in education (Alenicheva et al, 2019), study on big data in education (Jiang et al, 2019) and also few other ones disclosed in the either papers (Alioon & Delialioğlu, 2019;Alrasheedi et al, 2015;Al-Sakkaf et al, 2019;Andrew et al, 2015;Antonenko, 2014;Appleton et al, 2008;Araka et al, 2020;Arnold & Paulus, 2010;Hangyál, 2019;Astuti et al, 2019;Badrtdinov & Gorobets, 2016;Bond et al, , 2020;Buntoro et al, 2020;Cipresso et al, 2018;Concannon et al, 2019;Cummings & Bailenson, 2016;Dalgarno & Lee, 2010;Domagk et al, 2010;Erişmen et al, 2018;Hudson et al, 2019;Jou & Wang, 2013;Kolchunov et al, 2...…”
Section: Problem Statementmentioning
confidence: 99%
“…Visualizations Visualizations and animations are popular tools to present program execution to learners and can be used to support mental model construction and accommodation. Sorva et al [339] and recently by Al-Sakkaf et al [4] present a comprehensive list of visualization and animation tools and evidence to support their usage.…”
Section: During Task Performancementioning
confidence: 99%