Informing Science Institute

PAPER PUBLISHED: Journal of Information Technology Education: Research [March 2024]   TITLE: Computer-Assisted Career Guidance Tools for Students’ Career Path Planning: A Review on Enabling Technologies and Applications   DOI: https://lnkd.in/edw2KT8K   AUTHORS: G.A.C.A. Herath, B.T.G.S. Kumara, R.M.K.T. Rathnayaka, U.A.P. Ishanka   AIM/PURPOSE: This study aims to investigate the enabling technologies and applications of computer-assisted career guidance (CACG) tools in the career planning activities of students. FINDINGS: The key findings of this study revealed experimentation with a wide range of enabling technologies and techniques in the implementation of CACG tools for students’ career path planning. Within these tools, a distinct set of parameters associated with students has been considered as input for offering personalized career decision support. Further, it was found that the use of CACG tools in career guidance differs across distinct educational stages.   #InformingScienceInstitute,#CACGtools

PAPER PUBLISHED: Journal of Information Technology Education: Innovations in Practice [April 2024] TITLE: Progressive Reduction of Captions in Language Learning   DOI: https://lnkd.in/eSveJ_3J   AUTHORS: Mónica S. Cárdenas-Claros, Daniela Ramírez-Orellana   AIM/PURPOSE:  This exploratory qualitative case study examines the perceptions of high-school learners of English regarding a pedagogical intervention involving progressive reduction of captions (full, sentence-level, keyword captions, and no-captions) in enhancing language learning.   FINDINGS:  Our findings show that learners not only appreciate the varied captioning approaches for their role in supporting text comprehension, vocabulary acquisition, pronunciation, and on-task focus but also for facilitating the integration of new linguistic knowledge with existing background knowledge. Crucially, our study uncovers a positive reception towards the gradual shift from fully captioned to uncaptioned materials, highlighting a stepwise reduction of caption dependence as instrumental in boosting learners’ confidence and sense of achievement in mastering L2 listening skills.   #InformingScienceInstitute,#CaptionReliance

PAPER PUBLISHED: Interdisciplinary Journal of Information, Knowledge, and Management [March 2024] TITLE: Barriers of Agile Requirements Engineering in the Public Sector: A Systematic Literature Review   DOI: https://lnkd.in/em2gBXEY   AUTHORS: Avita Tri Utami, Teguh Raharjo, Ilham Zharif Mustaqim, Ni Wayan Trisnawaty   AIM/PURPOSE:  The objective of this study is to summarize the challenges of Agile Requirements Engineering (Agile RE) in the public sector in republican and constitutional monarchy nations. Additionally, it offers recommendations to address these challenges. FINDINGS:  Most challenges related to Agile RE in the public sector are found in the people and process aspects. Project and organizational-related are subsequent aspects. Therefore, handling people and processes proficiently is imperative within Agile RE to prevent project failure.   #InformingScienceInstitute,#AgileRE

PAPER PUBLISHED: Interdisciplinary Journal of Information, Knowledge, and Management [March 2024] TITLE: Emphasizing Data Quality for the Identification of Chili Varieties in the Context of Smart Agriculture   DOI: https://lnkd.in/evsghkzB    AUTHORS: Wiwin Suwarningsih, Rinda Kirana, Purnomo Husnul Khotimah, Andri Fachrur Rozie, Dianadewi Riswantini, Ekasari Nugraheni, Devi Munandar, Andria Arisal, Noor Roufiq Ahmadi   AIM/PURPOSE:  This research aims to evaluate models from meta-learning techniques, such as Riemannian Model Agnostic Meta-Learning (RMAML), Model-Agnostic Meta-Learning (MAML), and Reptile meta-learning, to obtain high-quality metadata. The goal is to utilize this metadata to increase accuracy and efficiency in identifying chili varieties in smart agriculture. FINDINGS:  With small collections of datasets, the authors have used data augmentation and meta-learning techniques to overcome the challenges of limited data and variations in growing conditions.   #InformingScienceInstitute,#Meta-Learning

PAPER PUBLISHED: Journal of Information Technology Education: Innovations in Practice [March 2024]   TITLE: AI Chatbot Adoption in Academia: Task Fit, Usefulness and Collegial Ties   DOI: https://lnkd.in/eGfnndB4   AUTHORS: Vishal Soodan, Avinash Rana, Anurag Jain, Deeksha Sharma   AIM/PURPOSE:  This mixed-methods study aims to examine factors influencing academicians’ intentions to continue using AI-based chatbots by integrating the Task-Technology Fit (TTF) model and social network characteristics.   FINDINGS:  Task and technology characteristics positively affected academics’ intentions to continue AI chatbot usage. Among network factors, density showed the strongest effect on TTF and perceived usefulness, while homophily and connectedness had partial effects. The study provides insights into designing appropriate AI tools for the academic context.   #InformingScienceInstitute,#AIchatBots

PAPER PUBLISHED: Interdisciplinary Journal of Information, Knowledge, and Management [March 2024]   TITLE: Continuous Use of Mobile Banking Applications: The Role of Process Virtualizability, Anthropomorphism and Virtual Process Failure Risk   DOI: https://lnkd.in/eQx5D9GM   AUTHORS: Ayman Abdulhadi Alarabiat, Mohammad AbdeKareem Al Hadidi   AIM/PURPOSE: The research aims to investigate the factors that influence the continuous use of mobile banking applications to complete banking monetary transactions.   FINDINGS: The results indicate that process virtualizable and anthropomorphism have a strong positive impact on bank customers’ decisions to continue using mobile banking applications to complete banking monetary transactions. Meanwhile, the negative impact of virtualization process failure risk on continuous use has been discovered. The found factors explain 67.5% of the variance in continuous use.   #InformingScienceInstitute,#MobileBanking

PAPER PUBLISHED: Interdisciplinary Journal of Information, Knowledge, and Management [March 2024]   TITLE: Continued Usage Intention of Mobile Learning (M-Learning) in Iraqi Universities Under an Unstable Environment, Integrating the ECM and UTAUT2 Models   DOI: https://lnkd.in/eizqyi-m AUTHORS: Ahmed Ghazi Hameed Al-Rikabi, Putra Bin Sumari, Hussain A. Younis   AIM/PURPOSE: This study examines the adoption and continued use of m-learning in Iraqi universities amidst an unstable environment by extending the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) and Expectation-Confirmation Model (ECM) models. The primary goal is to address the specific challenges and opportunities in Iraq’s higher education institutions (HEIs) due to geopolitical instability and understand their impact on student acceptance, satisfaction, and continued m-learning usage.   FINDINGS: The study’s findings may inform strategies to enhance the effectiveness of m-learning initiatives in Iraqi HEIs and offer insights into how education can be supported in regions characterized by instability.   #InformingScienceInstitute,#MobileLearning

PAPER PUBLISHED: Interdisciplinary Journal of Information, Knowledge, and Management [March 2024]   TITLE: Using Social Media Applications for Accessing Health-related Information: Evidence from Jordan   DOI: https://lnkd.in/e6JU7u6U   AUTHOR: Basil Alzougool   AIM/PURPOSE: This study examined the use of Social Media Applications (SMAs) for accessing health-related information within a heterogeneous population in Jordan. The objective of this study was therefore threefold: (i) to investigate the usage of SMAs, including WhatsApp, Twitter, YouTube, Snapchat, Instagram, and Facebook, for accessing health-related information; (ii) to examine potential variations in the use of SMAs based on demographic and behavioral characteristics; and (iii) to identify the factors that can predict the use of SMAs.   FINDINGS:  The findings indicated that individuals often utilized YouTube as a platform to acquire health-related information, whereas their usage of Facebook for this purpose was less frequent. Participants rarely utilized Instagram and WhatsApp to obtain health information, while Twitter and Snapchat were very seldom used for this purpose. The variable of sex demonstrated a notable positive correlation with the utilization of YouTube and Twitter for the purpose of finding health-related information. Conversely, the variable of nationality exhibited a substantial positive correlation with the utilization of Facebook, Instagram, and Twitter. Consulting medical professionals regarding information obtained from the Internet was a strong indicator of using Instagram to search for health-related information.   #InformingScienceInstitute,#SocialMediaHealth

PAPER PUBLISHED: Journal of Information Technology Education: Research [March 2024]   TITLE: Sustainable Learning Environment Amidst the Pandemic: An Adoption of Mobile Learning Readiness Among Undergraduate Students in Malaysia's Higher Institutions   DOI: https://lnkd.in/egjuHsdD   AUTHORS: Md Kassim Normalini, Zhu Fei, Wan Normila Mohamad, Mohamad Saifudin Mohamad Saleh   AIM/PURPOSE:  The present study explores the key determinants that influence the intention of public higher education institutions in Malaysia to utilize mobile learning. Furthermore, this study investigates the correlation between these attributes and the components that affect the sustainability viability of mobile learning.   FINDINGS:  Based on the empirical evidence, the intention to adopt mobile learning in Malaysian higher education institutions is notably and directly influenced by attitude, subjective norms, and perceived behavioral control. Additionally, the core constructs of TPB are significantly impacted by perceived usefulness, instructor readiness, student readiness, perceived self-efficacy, and learning autonomy. Nevertheless, in Malaysian higher education institutions, the intention to adopt mobile learning is not significantly affected by the perceived ease of use.    #InformingScienceInstitute,#MobileLearningMalaysia

PAPER PUBLISHED: Informing Science: The International Journal of an Emerging Transdiscipline [March 2024]   TITLE: Critical Review of Stack Ensemble Classifier for the Prediction of Young Adults’ Voting Patterns Based on Parents’ Political Affiliations   DOI: https://lnkd.in/ejPAByBv   AUTHORS: Godwin Elo, Benjamin Ghansah, Ephrem Kwaa-Aidoo   AIM/PURPOSE:  This review paper aims to unveil some underlying machine-learning classification algorithms used for political election predictions and how stack ensembles have been explored. Additionally, it examines the types of datasets available to researchers and presents the results they have achieved. FINDINGS:  Single classifiers have featured greatly in political election predictions, though ensemble classifiers have been used and have proven potent use in the said field is rather low.   #InformingScienceInstitute,#MachineLearningInPolitics