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This paper aims to propose a new efficient semantic recommender method for Arabic content.

Three semantic similarities were proposed to be integrated with the recommender system to improve its ability to recommend based on the semantic aspect. The proposed similarities are CHI-based semantic similarity, singular value decomposition (SVD)-based semantic similarity and Arabic WordNet-based semantic similarity. These similarities were compared with the existing similarities used by recommender systems from the literature.

Experiments show that the proposed semantic method using CHI-based similarity and using SVD-based similarity are more efficient than the existing methods on Arabic text in term of accuracy and execution time.

Although many previous works proposed recommender system methods for English text, very few works concentrated on Arabic Text. The field of Arabic Recommender Systems is largely understudied in the literature. Aside from this, there is a vital need to consider the semantic relationships behind user preferences to improve the accuracy of the recommendations. The contributions of this work are the following. First, as many recommender methods were proposed for English text and have never been tested on Arabic text, this work compares the performance of these widely used methods on Arabic text. Second, it proposes a novel semantic recommender method for Arabic text. As this method uses semantic similarity, three novel base semantic similarities were proposed and evaluated. Third, this work would direct the attention to more studies in this understudied topic in the literature.

An examination of the research literature suggests that no attempt has been made to examine learner autonomy development within female university-level English as a Foreign Language (EFL) students in the Kingdom of Saudi Arabia. Given that English has become the world’s predominant lingua franca for academia, business, and politics, the purpose of this paper, therefore, is to fill this gap in the literature.

This is a qualitative case study that aims to explore learner autonomy in vocabulary development.

The results showed that teachers are cognizant of the concept of learner autonomy. However, they are not all certain of the benefits of autonomous vocabulary learning. This study reveals how six adult learners’ levels of autonomy are highly influenced by their teachers’ practices. This study draws out suggestions for English language teachers who promote learner autonomy theory and practice. It also offers specific guidance, models, and adapted learning approaches of how to promote autonomy inside the classroom.

This study encountered several limitations. The first is time: the study took place over the course of two months in the Summer of 2016, when students were fully encumbered with schoolwork and social duties. The recruitment of participants during that time was a challenge. Some of the students who agreed to participate in the study were not fully engaged in the research. Additionally, the study faced difficulties with faculty commitment – one of the professors delayed the interview session multiple times and perceived some of the interview questions negatively. In addition, Dickinson’s (1993) characteristics of learner autonomy are largely related to the opportunities that are presented to the students by the teacher. It appears that Dickinson’s scale was meant to be used to identify students’ level of autonomy, particularly inside the classroom. However, because of some of the examples of activities pertaining to how they learned vocabulary outside the classroom, they were not related to classroom teaching. Also, the number of the participants is limited in this study.

A future study could be undertaken to measure and quantitatively analyze learners’ vocabulary development on a larger scale. Research could also be conducted using a pretest, an intervention, and a posttest to measure the effectiveness of learning vocabulary autonomously. In addition, other pedagogical approaches could be utilized to measure EFL students’ intrinsic motivation and autonomy, which play critical roles in learning. Allowing learners to self-select their preferred method of learning can help them to develop their vocabulary knowledge. The findings from this study reveal that learner autonomy plays a significant role in enhancing EFL students’ vocabulary development.

When students learn vocabulary autonomously, they are better able to source the lingua franca’s core pronunciation of a word and its spelling without the influence of the teacher’s cultural background. Given the magnitude of teachers’ workloads, they may lack the time for designing lessons that adequately meet the needs of diverse learners. Therefore, the practical way to ameliorate the problem of inadequate time is to provide them with methods (e.g. using strategies such as inquiry-based learning, problem-based learning, and project-based learning) that they can use to more readily foster learner autonomy.

Lean manufacturing (LM) concepts have been widely adopted in diverse industrial sectors. However, no literature review focusing on case studies describing LM implementation is available. Case studies represent the actual implementation and provide secondary data for further analysis. This study aims to review the same to understand the pathways of LM implementation. In addition, it aims to analyse other related review questions, such as how implementing LM impacts manufacturing capabilities and the maturity level of manufacturing organisations that implemented LM, to name a few.

A literature review of case studies that discuss the implementation of LM during the last decade (from 2010 to 2020) is carried out. These studies were synthesised, and content analyses were performed to reveal critical insights.

The implementation pattern of LM significantly varies across manufacturing organisations. The findings show simultaneous improvement in manufacturing capabilities. Towards the end of the last decade, organisations implemented LM with radio frequency identification, e-kanban, simulation, etc.

Reviewing the case studies documenting LM implementation to comprehend the various nuances is a novel attempt. Furthermore, potential future research directions are identified for advancing the research in the domain of LM.