Software Architectures Supporting Human-Computer Interaction Analysis: A Literature Review

Cruz-Benito, Juan; Therón, Roberto; García-Peñalvo, Francisco José

doi:10.1007/978-3-319-39483-1_12

Cited by 10 publications

(4 citation statements)

References 29 publications

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“…The search with that limitation resulted in 308 documents. The data screening process in this article refers to several phases or stages of SLR proposed by (Cruz-Benito, 2016), which are: (1) removing duplicate studies; (2) reviewing by reading titles and abstracts; and (3) reviewing by reading the full text.…”

Section: The Search Processesmentioning

confidence: 99%

The Implementation of Digital Entrepreneurship Learning in Higher Education: A Systematic Literature Review

Aysi,

Susilaningsih,

Sabandi

2024

pedagogia

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The phenomenon and topic of digital entrepreneurship learning remain popular for analysis in the era of digitization. Previous literature reviews discussed the context and concept of digital entrepreneurship only. This article presents a literature review aimed at facilitating the search for research publications on digital entrepreneurship, in order to understand the track record, learning models, the impact of implementing digital entrepreneurship learning, and future research opportunities. The article has used the Systematic Literature Review (SLR) method using the Scopus database. This article has used "digital entrepreneurship" keyword for search the resources in January 2014 to May 2023 period. The result of the literature screening process yielded 19 relevant journals. The results of the literature review indicate that research on this topic has shown a significant increase and has the potential to continue to grow. Digital entrepreneurship learning can be designed using experiential learning approaches or the Internet of Things (IoT) and technology approaches. The implementation gives an impact on business opportunities, entrepreneurial intention, innovation, entrepreneurial attitude, and student problem-solving. This study contributes to providing an overview of learning models that can be replicated or modified in future research. Highlights: Growing research on digital entrepreneurship education; impactful learning approaches identified. Experiential and IoT-based methods enhance digital entrepreneurship learning outcomes. Positive impact on business opportunities, innovation, and entrepreneurial skills observed. Keywords: Digital Entrepreneurship, Entrepreneurship Learning, Learning Model

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Section: The Search Processesmentioning

confidence: 99%

The Implementation of Digital Entrepreneurship Learning in Higher Education: A Systematic Literature Review

Aysi,

Susilaningsih,

Sabandi

2024

pedagogia

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“…Researchers have used and modified the TAM by adding variables to investigate the adoption of various advanced technologies for learning, such as – AI-enabled e-learning (Kashive et al. , 2021), AI-driven assessments in e-learning (Cruz-Benito et al. , 2019) and educational AI tools (Choi et al.…”

Section: Literature Reviewmentioning

confidence: 99%

Students' adoption of AI-based teacher-bots (T-bots) for learning in higher education

Pillai¹,

Metri

Kaushik

2023

ITP

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PurposeThe purpose of this paper is to investigate students' adoption intention (ADI) and actual usage (ATU) of artificial intelligence (AI)-based teacher bots (T-bots) for learning using technology adoption model (TAM) and context-specific variables.Design/methodology/approachA mixed-method design is used wherein the quantitative and qualitative approaches were used to explore the adoption of T-bots for learning. Overall, 45 principals/directors/deans/professors were interviewed and NVivo 8.0 was used for interview data analysis. Overall, 1,380 students of higher education institutes were surveyed, and the collected data was analyzed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) technique.FindingsThe T-bot's ADI’s antecedents found were perceived ease of use, perceived usefulness, personalization, interactivity, perceived trust, anthropomorphism and perceived intelligence. The ADI influences the ATU of T-bots, and its relationship is negatively moderated by stickiness to learn from human teachers in the classroom. It comprehends the insights of senior authorities of the higher education institutions in India toward the adoption of T-bots.Practical implicationsThe research provides distinctive insights for principals, directors and professors in higher education institutes to understand the factors affecting the students' behavioral intention and use of T-bots. The developers and designers of T-bots need to ensure that T-bots are more interactive, provide personalized information to students and ensure the anthropomorphic characteristics of T-bots. The education policymakers can also comprehend the factors of T-bot adoption for developing the policies related to T-bots and their implications in education.Originality/valueT-bot is a new disruptive technology in the education sector, and this is the first step in exploring the adoption factors. The TAM model is extended with context-specific factors related to T-bot technology to offer a comprehensive explanatory power to the proposed model. The research outcome provides the unique antecedents of the adoption of T-bots.

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“…La revisión sistemática de la literatura en la producción de textos académicos y científicos en la formación universitaria se ha venido perfeccionando en el siglo XXI, a partir de la gran producción y divulgación, en las diferentes plataformas virtuales, de la información científica [2], [6].…”

Section: Introductionunclassified

Faculty perceptions about the use of the systematic literature review at the university

Vera

Vélez

Vivas

et al. 2022

Minerva

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In the university environment, research reports abound with limited use of the systematic review of the literature, which implies insufficient theoretical support and inappropriate use of information from other researchers; this work fulfilled the objective of identifying the teachers' perceptions about the use of the Systematic Literature Review techniques. A mixed methodology was applied, using analysis-synthesis and statistical methods to process the information obtained in the survey. The data analyzed were obtained from surveys of 61 university professors. It was accepted as a result that search engines are used more and more using the appropriate logical operators, recognizing their importance in the academic and investigative work of the teacher, as well as the need to strengthen the capacities for their systematization in the training of professionals and methodological activity.

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Software Architectures Supporting Human-Computer Interaction Analysis: A Literature Review

Cited by 10 publications

References 29 publications

The Implementation of Digital Entrepreneurship Learning in Higher Education: A Systematic Literature Review

The Implementation of Digital Entrepreneurship Learning in Higher Education: A Systematic Literature Review

Students' adoption of AI-based teacher-bots (T-bots) for learning in higher education

Faculty perceptions about the use of the systematic literature review at the university

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