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Knowledge concerning the meaning of the object of learning is an important contribution of Learning study. The purpose of this paper is to generate this kind of knowledge and show how it can be developed and refined in the different phases of a Learning study.

The paper reports on a Learning study in primary technology education conducted with students aged six to seven years old, with the aim to explore a specific object of learning; to construct a linkage mechanism for transferring and transforming movement.

The findings show several aspects to discern by the learner in order to grasp the object of learning and reveal how this knowledge was gradually developed during the Learning study. The presumed aspects, those identified in the pre- and post-test, as well as how they were elaborated in the lesson contributed to refining the meaning of the object of learning.

In Learning study, knowledge concerning the meaning of the object of learning is generated. By empirically demonstrating the development and specification of this knowledge during a Learning study, this paper will contribute to the discussion of knowledge products from Learning studies as well as to knowledge concerning what there is to know in order to develop a specific capability in technology education.

Presently, searching the internet for learning material relevant to ones own interest continues to be a time‐consuming task. Systems that can suggest learning material (learning objects) to a learner would reduce time spent searching for material, and enable the learner to spend more time for actual learning. The purpose of this paper is to present a system of “hybrid search and delivery of learning objects to learners”.

This paper presents a system of “hybrid search and delivery of learning objects to learners” that combines the use of WordNet for semantic query expansion and an approach to personalized learning object delivery by suggesting relevant learning objects based on attributes specified in the learner's profile. The learning objects are related to the learner's attributes using the IEEE LOM and IMS LIP standards. The system includes a web crawler to collect learning objects from existing learning object repositories, such as NEEDS or SMETE.

The presented HSDLO system has the ability to accurately search and deliver learning objects of interest to a learner as well as adjust the learner's profile over time by evaluating the learner's preferences implicitly through the learning object selections.

Since real LOM's from SMETE are not much populated, the system is tested with a limited set of attributes. The system is evaluated using a test bench rather than real learners.

The paper proposes a combination of three search techniques in one system as well an architectural solution which can be used for other types of online search engines.

Learning objects strive for reusability in e‐Learning to reduce cost and allow personalization of content. We show why learning objects require adapted Information Retrieval systems. In the spirit of the Semantic Web, we discuss the semantic description, discovery, and composition of learning objects. As part of our project, we tag learning objects with both objective (e.g., title, date, and author) and subjective (e.g., quality and relevance) metadata. We present the RACOFI (Rule‐Applying Collaborative Filtering) Composer prototype with its novel combination of two libraries and their associated engines: a collaborative filtering system and an inference rule system. We developed RACOFI to generate context‐aware recommendation lists. Context is handled by multidimensional predictions produced from a database‐driven scalable collaborative filtering algorithm. Rules are then applied to the predictions to customize the recommendations according to user profiles. The RACOFI Composer architecture has been developed into the contextaware music portal inDiscover.

In this paper, knowledge concerning the meaning of knowing the object of learning is developed using learning study as a research approach. The purpose of this paper is to show how the object of learning, in this case, playing with groove in rhythmic sequences, can be analysed and recognised using phenomenography.

The paper reports on a learning study conducted in three different fifth grade elementary school classes. Seven music teachers were involved in preparing the pre-test, designing three research lessons and analysing the material.

The findings show that several aspects of the object of learning must be discerned by the learner in order to experience the chosen object of learning and develop in the learning situation. The phenomenographic analysis contributed to refining the meaning of the object of learning.

In a learning study, knowledge concerning the meaning of the object of learning is generated. The development and specification of this knowledge will be empirically revealed through the analysis process. This paper will contribute to the discussion concerning what must be known in order to develop a specific capability in music education, namely, the capability to feel the groove.

This paper aims to explore the feasibility of using web‐mining technology on learning object (LO) usage information to discover the LO relation pattern and provide valuable recommendations on related learning resources. Design/methodology/approach – This paper proposes three kinds of learning object relation patterns and gives a specific definition of each pattern based on analysing the learners' usage data stored in the learning object repository. These relation patterns can be used to make effective recommendations to learners.

LO usage data indicate the potential relation patterns between LOs. By using web‐mining technology on the usage data, it is possible to discover valuable relation patterns.

The authors propose a set of LO relation patterns and indicate how they are closely related to users' learning behaviour.

Effective project learning can prevent projects from repeating the same mistakes; however, knowledge codification is required for project-to-project learning to be up-scaled across the temporal, geographical and organisational barriers that constrain personalised learning. This paper explores the state of practice for the structuring of codified project learnings as concrete boundary objects with the capacity to enable externalised project-to-project learning across complex boundaries. Cross-domain reconceptualisation is proposed to enable further research and support the future development of standardised recommendations for boundary objects that can enable project-to-project learning at scale.

An integrative literature review method has been applied, considering knowledge, project learning and boundary object scholarship as state-of-practice sources.

It is found that the extensive body of boundary object literature developed over the last three decades has not yet examined the internal structural characteristics of concrete boundary objects for project-to-project learning and boundary-spanning capacity. Through a synthesis of the dispersed structural characteristic recommendations that have been made across examined domains, a reconceptualised schema of 30 discrete characteristics associated with boundary-spanning capacity for project-to-project learning is proposed to support further investigation.

This review makes a novel contribution as a first cross-domain examination of the internal structural characteristics of concrete boundary objects for project-to-project learning. The authors provide directions for future research through the reconceptualisation of a novel schema and the identification of important and previously unidentified research gaps.

The purpose of this chapter is to investigate students’ qualitatively different ways of understanding the learning object in three undergraduate courses in the discipline of accounting. The theoretical framework of variation theory, a general learning theory, is applied. The lecturers chose a learning object which is investigated under two different teaching conditions – the conventional lecture model and the variational method. Two student groups were identified as a comparison group and a target group, comparable in various relevant parameters. All students took three required accounting courses. In the comparison group, the lecturers used the conventional lecture model and in the target group the variational model. The results indicated significant differences between the two groups’ examination results in the three courses, with students in the target group performing much better. The educational implications and limitations of the study, and areas for further research, are discussed.

The purpose of this paper is to report on the approaches teacher candidates (TCs) took to craft the object of learning and the critical aspects when applying variation theory, in planning science lessons. It addresses the difficulty TCs often face in determining what students could learn when crafting the objects of learning and the critical aspects.

A total of 27 science TCs from an initial teacher education (ITE) were introduced to variation theory and collaborated in groups of four to five to plan lessons. Data included recordings of the lesson planning session and fieldnotes, TCs’ lesson plans and individual semi-structured interviews. Phenomenography as a methodology was employed to capture the variation in the TCs’ approaches in crafting the objects of learning and the critical aspects, resulting in categories of description that illustrated the complexity of the lesson planning process the TCs engaged with.

Arranged in hierarchical order, the three categories of description include TCs: analysing content knowledge in order to promote conceptual learning; reflecting on personal experiences and beliefs about teaching and learning; and drawing on external resources to develop knowledge about students.

The ways the TCs engaged with lesson planning constituted valuable resources to build their capacity to differentiate between superficial content engagement and deep conceptual learning.

The study reports on the potential of framing ITE discourse using variation theory to support TCs’ engaging with science teaching that is more conceptual-based, while increasing their sensitivity to students’ common conceptions that constrained the learning of canonical science.