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This study aims to investigate how to improve the project management (PM) curriculum by evaluating the nature and alignment of learning outcomes in the PM course syllabi with Bloom’s Taxonomy framework.

The research methodology for this study is an integrative approach that uses document analysis and content analysis. The data set was selected based on a purposeful sampling method and came from PM course syllabi for classes that were taught during the 2016–2018 academic years.

Results revealed that most of the reviewed PM course syllabi contained learning outcomes although they were written and assessed at the lower levels of Bloom’s Taxonomy and knowledge dimensions. The study calls for the academy and industry to partner in improving the PM curriculum to lower the PM talent deficit and increase project success rates.

The absence of PM learning outcomes or the presence of poorly written PM learning outcomes in a course implies that the academy should provide professional development programs to help professors learn how to formulate and write specific, measurable, achievable, relevant and timely learning outcomes. The professors should also ensure that the learning outcomes use a type of cognitive taxonomy that is aligned with the appropriate assessments to measure, monitor and guarantee assurance of learning.

Academy and industry partners can work collaboratively to provide students with opportunities that expose them to real-world experiential projects, internships and job opportunities while concurrently giving them hands-on practical applications of learned PM knowledge and skills. The society will be well served when the academy is able to produce well-qualified PM personnel capable of successfully carrying out PM activities and lowering the project’s failure rates.

The society will be well served when the academy is able to produce well-qualified PM personnel capable of successfully carrying out PM activities and lowering the project’s failure rates.

To the researchers’ knowledge, this is the first study to specifically investigate the presence and nature of PM learning outcomes in course syllabi. By evaluating the alignment between PM learning outcomes and Bloom’s Taxonomy action verbs and cognitive processes, the study provides some exemplars of well-written and measurable learning outcomes that professors can use to inform their PM curriculum through course design or redesign.

The purpose of this paper is to propose a game-based learning (GBL) content design model that replicates the two-dimensional Bloom cognitive process in GBL units. The proposed model, called the knowledge and cognitive-process representation (KCR) model, enables a game player to access three types of Bloom knowledge by allowing the learner to experience-related cognitive processes that can be replicated in the GBL units via appropriate representation approaches.

To validate the feasibility of the proposed KCR model, 14 GBL units for a Cisco-certified network associate (CCNA) certification training program were designed and installed on several servers. Players played the GBL units via internet browsers. According to the problem-solving theory, three game components, including a tool, feedback, and goal, are necessary for game playing and should be adopted to implement three sub-cognitive processes. A three-phase experiment was performed for one year. Subjects were university sophomores and a randomized block experiment design was implemented.

The experimental results show that, compared with a traditional web-based learning platform, the GBL platform is more efficient and it enables learners to achieve improved learning performance. In addition, most hypotheses support the fact that particular cognizance processes should be implemented by a specific representation approach in GBL. Finally, a KCR model for GBL content design is inferred to represent a cognitive process appropriately that can be referenced for both the digital content instructor and the game developer.

Because the CCNA training material does not include meta-knowledge of Bloom knowledge type and the creation of the Bloom cognitive process, the KCR model should be further extended. In addition, others certification training materials (such as Oracle DBA, Java programmer) can be implemented on the basis of the KCR model for general validation as further research.

Players can acquire specific types of knowledge, such as factual knowledge, by experiencing a particular cognitive process, such as the “remembering & understanding” processes, which can be represented with a computer tool. The KCR model can provide both the instructor and the game developer with design recommendations and accelerate GBL content implementation.

GBL is a learning platform that can stimulate a learner by improving the motivation to learn and the learning experience. To ensure high-learning performance, the learner should perform specific cognitive processes and acquire knowledge. This research proposes a content design model for GBL units that appropriately replicate the Bloom framework in a computer game.

This paper discusses methodology and technology to aid students learning programming. We have identified and integrated the problem solving and program development skills and knowledge students need to apply when programming with the cognitive activities required to accomplish these tasks. We then developed a composite methodological/software environment that supports the overall process of programming in a manner that gives appropriate weight to both language issues and problem solving. The results of a classroom evaluation of the method and the tool are then presented.

Formal ties between the theatre and research dissemination have only recently developed and its general efficacy is largely unknown. Here the purpose of this paper is to redress this neglect by examining the effectiveness of a research-based theatrical event in promoting dementia knowledge transfer with a group of front line care workers. The event ran over eight days and consisted of an original theatrical production followed by a chaired audience discussion and workshops.

Questionnaires which had been developed specifically for this evaluation were completed by 863 front line workers on the day of the event, eliciting their profiles and immediate reactions. Three months after the event, 30 completed a follow-up questionnaire and eight were interviewed.

Attendance was well received with high degrees of both cognitive and emotional engagement being expressed in the initial questionnaire. The follow-up evaluation suggested that these positive reactions were sustained over time. However, many taking part in this follow-up thought that their practice had not changed as a result of event attendance. This apparent discrepancy between knowledge transfer and utilisation appeared to be partly the result of the influence of contextual factors in impeding this utilisation within work settings.

Evidence is provided on the positive impact of theatre on dementia carers’ working lives. This is sufficient to warrant further applications of this method, provided there is careful attention to embedding the messages in the workplace context and evaluating their efficacy.

Teaching health and safety law to non‐lawyers can involve an unreceptive audience. The author works with prospective rural practice surveyors involved with the two highest risk working environments in the UK: construction and agriculture. Unlike construction, the agricultural industry has failed to reduce annual fatalities in the past quarter century and continues to account for around 20 percent of workplace deaths, whilst employing under two percent of the workforce. The purpose of this paper is to evaluate the effectiveness of teaching methods on both substantive learning and student attitudes.

The methodology used is an iterative process of action research. The paper is introductory, reporting teaching approach and outline findings. Further data will be collected over forthcoming academic periods. The paper explores the use of court cases, as an introduction to studies, to pique student interest, enhance legal skills and, importantly, to attempt to influence behaviour. The paper sets out teaching issues and experiences and outlines judgments used in 2011/12.

The paper reviews the responses to preliminary research (self‐evaluation, peer review teaching observation, student questionnaires) ascertaining student attitudes and understanding of the area before and after teaching, and student engagement with pre‐class preparation.

Limitations of the paper include length of study to date and measurable outcomes.

Practical implications include informing the attitudes of those with significant responsibilities in a vital area. A discrete academic/CPD programme for health and safety education is being developed as a result with far reaching impact.

The effectiveness of different teaching methods in health and safety law and practice in this area has not previously been evaluated.

The purpose of this paper is to propose the use of case studies in teaching an undergraduate course of Internet for Business in class, based on the revised Bloom’s taxonomy. The study provides the empirical evidence about the effect of case-based teaching method integrated the revised Bloom’s taxonomy on students’ incremental learning, measured by the four constructs: knowledge application, higher-order thinking, practice evaluation knowledge and knowledge improvement.

In this study, learning activities associated with the revised taxonomy-based learning strategy were proposed to support the development of higher-level cognitive skills. Revised application scale, higher-order thinking scale, practice evaluation knowledge scale and knowledge improvement scale were used to measure students’ perception of skills corresponding to their level of application, analysis, evaluation and creation, respectively. After completing each task pertinent to case studies, students were encouraged to complete the survey questionnaire. Structural equation modelling (SEM) was employed to examine the relationships between constructs. Students participate in a course where case studies are employed as the main learning activities to promote higher-order thinking. Upon completing the course, they fill in a survey to evaluate the four constructs of incremental learning: level of knowledge application, higher-order thinking, practice evaluation knowledge and knowledge improvement. The relationships between the four constructs are then examined using SEM.

Analysis reveals that with the use of case-based learning activities, knowledge application creates a positive impact on higher-order thinking. Higher-order thinking has positive influence on practice evaluation knowledge. Eventually, practice evaluation knowledge produces a positive effect on knowledge improvement. The results show the desired effects of incremental learning.

The case studies designed for teaching the Internet for Business course might not be suitable in terms of content for other courses, which limit the implication of the findings.

The key implication is that cognitive process is enhanced by using case studies where learning activities are designed, based on the revised Bloom’s taxonomy.

The paper offers a comprehensive perspective on incremental learning where students’ knowledge of Internet for Business moves developmentally towards the higher-order cognitive process dimension of the revised Bloom’s taxonomy.

The purpose of this study is, First, to leverage the limitation of annotated data and to identify the cognitive level of learning objectives efficiently, this study adopts transfer learning by using word2vec and a bidirectional gated recurrent units (GRU) that can fully take into account the context and improves the classification of the model. This study adds a layer based on attention mechanism (AM), which captures the context vector and gives keywords higher weight for text classification. Second, this study explains the authors’ model’s results with local interpretable model-agnostic explanations (LIME).

Bloom's taxonomy levels of cognition are commonly used as a reference standard for identifying e-learning contents. Many action verbs in Bloom's taxonomy, however, overlap at different levels of the hierarchy, causing uncertainty regarding the cognitive level expected. Some studies have looked into the cognitive classification of e-learning content but none has looked into learning objectives. On the other hand, most of these research papers just adopt classical machine learning algorithms. The main constraint of this study is the availability of annotated learning objectives data sets. This study managed to build a data set of 2,400 learning objectives, but this size remains limited.

This study’s experiments show that the proposed model achieves highest scores of accuracy: 90.62%, F1-score and loss. The proposed model succeeds in classifying learning objectives, which contain ambiguous verb from the Bloom’s taxonomy action verbs, while the same model without the attention layer fails. This study’s LIME explainer aids in visualizing the most essential features of the text, which contributes to justifying the final classification.

In this study, the main objective is to propose a model that outperforms the baseline models for learning objectives classification based on the six cognitive levels of Bloom's taxonomy. In this sense, this study builds the bidirectional GRU (BiGRU)-attention model based on the combination of the BiGRU algorithm with the AM. This study feeds the architecture with word2vec embeddings. To prove the effectiveness of the proposed model, this study compares it with four classical machine learning algorithms that are widely used for the cognitive classification of text: Bayes naive, logistic regression, support vector machine and K-nearest neighbors and with GRU. The main constraint related to this study is the absence of annotated data; there is no annotated learning objective data set based on Bloom’s taxonomy's cognitive levels. To overcome this problem, this study seemed to have no choice but to build the data set.

This paper aims to examine potential instructional benefits from, and methods for, incorporating concepts from Bloom's taxonomy into reference interactions.

The paper analyzes chat transcripts and assigns each question asked by a librarian to one of the six levels of Bloom's taxonomy, and also codes it as open (divergent) or closed (convergent).

Three of the six levels of Bloom's hierarchy consistently matched observed questions from the transcripts. Bloom's taxonomy provided a rich vocabulary and methodology for expanding delivery of information literacy instruction in reference.

Questioning is a key part of standard reference training, and the findings suggest ways to enhance questions, to direct patrons towards instructional goals such as the ACRL Standards for Information Literacy.

The research expands the traditional open and closed questioning vocabulary of the RUSA Behavioral Guidelines and provides librarians with a new methodology for understanding and choosing which questions to ask based on specific instructional outcomes. The results particularly benefit those looking to integrate their reference and instructional missions, and expand the instructional role of reference services.

This paper seeks to identify the changes in cognition associated with becoming information‐literate, specifically, in relation to the evaluation of information. Additionally, it puts forward a model for a teaching and learning intervention that engages the learner and leads to higher order information literacy (IL) thinking. From a theoretical perspective the research integrates ideas from the fields of IL, teaching and learning, e‐learning and information behaviour (IB).

Three interventions were designed to develop the information literacies of first‐year undergraduates studying Sport and Exercise at Staffordshire University, to teach and test IL. Interventions took a blended approach and combined face‐to‐face and online social network learning (OSNL) – also referred to as social media learning (SML) – and focused on one aspect of information literacy: the ability to evaluate source material. Data were captured via interviews, focus groups and from the online discussion that was analysed thematically and categorised using task, behaviour, cognitive states, affective states, cognitive states and knowledge. This helped to evaluate the efficacy of the interventions and provided data for further analysis. This paper focuses on the cognitive data and their transitions during the interventions and, in particular, among those respondents who experienced OSNL.

The changing cognitive states, associated with IL learning were modelled and made evident key cognitive states and transitions. This is represented in the paper in diagrammatic and mathematical notation. The findings indicate the complexity of the information behaviours associated with IL including the cognitive, behavioural, cognitive and affective elements. Although the cognitive transitions are the focus of this paper, an insight is also given into an IL intervention that fosters the capability to interact critically and reflectively with information. The pedagogy that underpins these changes is indicated. The intervention, which incorporated OSNL, proved the most successful.

Undergraduate students' IB can be changed and IL developed. Additional long‐term data would have indicated whether this intervention had a lasting impact on the undergraduates.

IL practitioners should consider incorporating OSNL and assessment in their interventions. Incorporating discussion, reflection and peer‐to‐peer assessment is likely to lead to deeper learning when teaching IL.

The research adds detail to the understanding of the cognitive, behavioural, affective and cognitive states associated with IL and makes explicit how these may change, as the learner becomes information‐literate.