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The sustainable transition towards the circular economy requires the effective use of artificial intelligence (AI) and information technology (IT) techniques. As the sustainability targets for 2030–2050 increasingly become a tougher challenge, society, company managers and policymakers require more support from AI and IT in general. How can the AI-based and IT-based smart decision-support tools help implementation of circular economy principles from micro to macro scales?

This chapter provides a conceptual framework about the current status and future development of smart decision-support tools for facilitating the circular transition of smart industry, focussing on the implementation of the industrial symbiosis (IS) practice. IS, which is aimed at replacing production inputs of one company with wastes generated by a different company, is considered as a promising strategy towards closing the material, energy and waste loops. Based on the principles of a circular economy, the utility of such practices to close resource loops is analyzed from a functional and operational perspective. For each life cycle phase of IS businesses – e.g., opportunity identification for symbiotic business, assessment of the symbiotic business and sustainable operations of the business – the role played by decision-support tools is described and embedding smartness in these tools is discussed.

Based on the review of available tools and theoretical contributions in the field of IS, the characteristics, functionalities and utilities of smart decision-support tools are discussed within a circular economy transition framework. Tools based on recommender algorithms, machine learning techniques, multi-agent systems and life cycle analysis are critically assessed. Potential improvements are suggested for the resilience and sustainability of a smart circular transition.

This study aims to initiate an investigation into the drop-out rate from building information modelling (BIM) courses.

During 2017-2018, BIM courses (16 weeks) have been developed as active learning modules. Peer instruction was used to engage students and improve the overall student’s performance. Students’ activity data were captured and analysed based on study groups and suggested study module completion dates.

By mapping students’ activity data against suggested completion date at various assessment milestones revealed a possible degradation of motivation throughout the course which, in turn, may have been a possible cause of drop-out.

This paper presents ongoing research and a preliminary understanding about peer instruction effectiveness in BIM-related subjects as high intensity courses. It investigates whether a student’s active participation can improve their motivation to acquire a subject’s learning outcomes and reduce the drop-out.

The peer instruction methodology that is used here is quite universal and can be successfully applied to various other subjects to increase the student’s involvement in the course.

Results are drawn based on students’ involvement at the high intensity course and show the gradual increase of a learner’s motivation once they get continuous support from fellow learners and a teacher.

Purpose – This study aims to examine how the task-based learning model influences the motivation of students of the Social and Political Sciences (FISIP) Department at Universitas Malikussaleh in learning English. Also, the present study attempts to find out the effectiveness of the implementation of this model in the English class as well as assess their attitudes toward the use of the model. This research involved 35 students of the first semester who were doing the English-I course.

Design/Methodology/Approach – This research combined a qualitative and quantitative approach with a direct application procedure through experimental study. The data were collected through a test, questionnaire, and interview.

Findings – The result shows that the task-based learning model helps non-English students to improve their English proficiency which in turn increases their motivation to learn English and therefore their attitudes toward using this model in their classroom is positively seen as a better way to learn English.

Research Limitations/Implications – Unlike many findings on similar studies, this research found that motivation cannot be utilized to predict grades in the peripheral university. New approaches should be developed to find out the predictors for student grades.

Practical Implications – To understand the influencing aspects for students’ grades attainment, more variables should be used. Both internal and external motivation factors failed to predict students’ grades.

Originality/Value – Research on students learning motivation specifically at the peripheral university has been studied.

Perpetrators of technology-facilitated gender-based violence are taking advantage of increasingly automated and sophisticated privacy-invasive tools to carry out their abuse. Whether this be monitoring movements through stalkerware, using drones to nonconsensually film or harass, or manipulating and distributing intimate images online such as deepfakes and creepshots, invasions of privacy have become a significant form of gender-based violence. Accordingly, our normative and legal concepts of privacy must evolve to counter the harms arising from this misuse of new technology. Canada's Supreme Court recently addressed technology-facilitated violations of privacy in the context of voyeurism in R v Jarvis (2019) . The discussion of privacy in this decision appears to be a good first step toward a more equitable conceptualization of privacy protection. Building on existing privacy theories, this chapter examines what the reasoning in Jarvis might mean for “reasonable expectations of privacy” in other areas of law, and how this concept might be interpreted in response to gender-based technology-facilitated violence. The authors argue the courts in Canada and elsewhere must take the analysis in Jarvis further to fully realize a notion of privacy that protects the autonomy, dignity, and liberty of all.

Purpose – This study aims to describe the planning of learning, learning organizing implementation, and evaluating the learning of Bahasa in a high school in Lhokseumawe.

Methodology – The research method was descriptive analysis with a qualitative approach. Data collection used the techniques of observation, interview, and literature review. The subjects of research were the principal, vice principal, Chairman of Department, and Bahasa teachers in the high school. The data obtained were analyzed with the technique of reduction, display, and verification.

Findings – The results showed that the lessons plan in the high school have been compiled by the Indonesian language/Bahasa teachers, including analyzing subjects, drawing up the annual and semester programs, and syllabus. All the planning of learning Bahasa have been well structured and documented. The implementation of the orientation direction or Bahasa Learning is adapted to the needs and level of education. The implementation of study conducted showed the positive things in accordance with the school-based curriculum.

Research Limitations/Implications – Organizing learning Bahasa also showed the positive things based on the management system. Bahasa teachers carried out their roles and their responsibilities based on their job description. This condition has brought positive influence on the quality of learning Bahasa which shows an increase from year to year.

Practical Implications – Activities and aspects of the Bahasa learning adapted to the assessment are based on the syllabus and compiled lesson plan. The evaluation phase is applied to improve the learning activities. This form of evaluation was done either by oral or writing.

Originality/Value – This is the first research to identify learning management of Bahasa in senior high schools in Lhokseumawe.

Purpose – The purpose of this research is to identify Tuah Teng fishing techniques in food security to facing ASEAN economic community (AEC) and to give description about Tuah Teng fishing techniques and its relationship with food security of coastal society in face of AEC era.

Design/Methodology/Approach – The method of sampling is by snowball technique, because every generation of fisherman community has used this since a long time ago. The method of analysis is done by descriptive qualitative based on primary data by observation and secondary data from the literature study.

Findings – The technique of fishing Tuah Teng is done by attracting the fish relying on simple equipment consisting of stereofoam, plastic cans, vats with cement and rubber wheel, and fish bait from dried coconut leaves tied to the rope. Availability of fish can support the food security. During season, the prices of fish can be very cheap or even just distributed free to the community.

Research Limitations/Implications – Food security in the era of ASEAN economic community encourages food self-sufficiency and ultimately realizes food sovereignty. The community no longer imports the fish, even they can export because the needs of fish in domestic has been fulfilled.

Practical Implications – The Office of Marine and Fisheries (DKP) has provided assistance in the form of radar and a more modern computer to be able to detect the fish. But fishermen still survive with this traditional method.

Originality/Value – This research identifies Tuah Teng as a traditional of fishing technique in Aceh Utara.

Utility strikes have spawned companies specializing in providing a priori analyses of the underground. Geophysical techniques such as Ground Penetrating Radar (GPR) are harnessed for this purpose. However, analyzing GPR data is labour-intensive and repetitive. It may therefore be worthwhile to amplify this process by means of Machine Learning (ML). In this work, harnessing the ADR design science methodology, an Intelligence Amplification (IA) system is designed that uses ML for decision-making with respect to utility material type. It is driven by three novel classes of Convolutional Neural Networks (CNNs) trained for this purpose, which yield accuracies of 81.5% with outliers of 86%. The tool is grounded in the available literature on IA, ML and GPR and is embedded into a generic analysis process. Early validation activities confirm its business value.

Purpose – The aim of this study is to determine the effects of inquiry instruction incorporating with STEM learning on Chemistry Education of Malikussaleh University students’ science process skills and science attitudes.

Design/Methodology/Approach – The pre-experimental design, which is a mixed method approach is used in the study that included a pretest-posttest one group model and descriptive quantitative.

Findings – As a result of data analysis that STEM learning significantly enhances students’ science process skills and attitudes toward inquiry instruction. This study examines how participation in a semester long inquiry-based STEM learning project that involves interdisciplinary skills, sociological research on attitudes, and behaviors enhances the scientific and quantitative literacies of STEM students.

Research Limitations/Implications – Quantitative research is needed to determine the more common effects of learning outcomes. However, this study only determines a self-assessment on science attitudes. The other one is a limitation on the participants and reviewing aspects of learning with more variables in order to obtain more optimal results.

Practical Implications – The results of this study have practical implications in terms of hands-on activities. The learning model can be used to explain the concept of multidisciplinary studies and particularly to students and their parents. It will be a useful model for lecturers, personal tutors, and any other practitioners involved in hands-on activities.

Originality/Value – This paper innovative at a conceptual level of education development for students, graduates, and it is very simple descriptive papers. It will be of value to anybody with an interest in education competitiveness issues.