Virtualization for Cost-Effective Teaching of Assembly Language Programming

Cadenas, Oswaldo; Sherratt, R. Simon; Howlett, Des; Guy, Chris; Lundqvist, Karsten

doi:10.1109/te.2015.2405895

Cited by 10 publications

(6 citation statements)

References 18 publications

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“…That RISC microcontroller (RMCU) is very popular among the students, teachers, amateurs, engineers, scientists and hobbyists for building electronics projects [9,10,11]. There are 133 one clock cycle instructions implemented.…”

Section: Microprocessor Atmega128mentioning

confidence: 99%

The Microcomputer Application in Physical Principles Demonstration Model Design

Sysala¹,

Neumann²,

Mikus³

2016

DAAAM Proceedings

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The article describes a design of a microcomputer system which is realized in the educational scale model control for physical principles demonstration. That particular design project was a part of the educational facility complex project called Experimentarium aiming at basic school and high school students. The article introduces two racing car models controlled by a microcomputer. The first model set demonstrates the speed and acceleration calculation based on a real time measurement. That calculation result can be compared with results obtained during a running man experiment. The second car model set demonstrates a downforce keeping the car riding the ceiling with wheels upside down. The microcomputer control system is based on microprocessors by Atmel, and the system is described in details including illustrative pictures, schematics and graphs.

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Section: Microprocessor Atmega128mentioning

confidence: 99%

The Microcomputer Application in Physical Principles Demonstration Model Design

Sysala¹,

Neumann²,

Mikus³

2016

DAAAM Proceedings

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“…Also, PBL could support self-directed learning but it requires suitable tools to guide the students through the process. In [10], the authors explained the use of an emulator as a virtual tool for learning ARM based processor. In their literature, they showed that the students are more interested and they felt very easy in learning the concepts using this tool.…”

Section: Introductionmentioning

confidence: 99%

“…[8]- [10] focuses entirely on a hands-on training/laboratory experiences and does not provide inputs on integration of both theory and lab sessions. [11] highlights the delivery of content for Digital Systems course, along with laboratory component.…”

Section: Introductionmentioning

confidence: 99%

Enriched Blended Learning through Virtual Experience in Microprocessors and Microcontrollers Course

Deepa¹,

Ręba²,

Santhanamari³

et al. 2021

JEET

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Microprocessors and microcontrollers is a course that demands concurrent delivery of pragmatic and dogmatic approaches to the students in order to ensure effective learning. Online sessions and active learning for such courses pose challenges to both teachers and students, especially during this pandemic period. In order to combat these challenges, and to kindle the interest among the students in learning the course, a new methodology which supports blended learning through virtual experience is presented in this paper. The proposed methodology was implemented for the third year engineering students of circuit branches. This paper highlights the effectiveness of using open source emulating environments like Edsim51 and EMU8086 for providing a virtual laboratory experience to the students. These virtual environment provides a complete visualization of the internal functionality of the microprocessor/microcontroller architecture, and also enhances practical exposure of the students. In order to further augment the students' affinity towards the course, the teacher adopts different pedagogical approaches, which is best suited for ICT based blended learning in the online teaching environment. The assessment of this virtual experience is carried out using different online assessment components such as quizzes, assignments as concept maps/videos shared by the students, mini projects etc. Based on the assessment results, an analysis is carried out and it shows significant improvement in student engagement, in depth understanding of the course and improvement in programming skills of the students. Thus, this experience not only acts as a countermeasure to the lack of real time laboratory sessions but also promotes 'understanding by doing', which seems almost impossible during this pandemic situation.

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“…An important aspect of digital education relates to supporting the learner to acquire software development competencies. The main lines of research in this field include cost-effective simulation of programming environments [8,20], dynamic adaptation of e-training [9,36], human-machine interaction [31,34] and collaborative learning [21,22]. Recently, the research attention has been also devoted to developing specific digital teaching paradigms [5].…”

Section: Introductionmentioning

confidence: 99%

Putting Humans Back in the Loop: A Study in Human-Machine Cooperative Learning

Gnjatović¹,

Maček²,

Adamović³

2020

ACTA POLYTECH HUNG

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This paper introduces a novel approach to human-machine collaborative learning that allows for the chronically missing human learnability in the context of supervised machine learning. The basic tenet of this approach is the refinement of a human designed software model through the iterative learning loop. Each iteration of the loop consists of two phases: (i) automatic data-driven parameter adjustment, performed by means of stochastic greedy local search, and (ii) human-driven model adjustment based on insights gained in the previous phase. The proposed approach is demonstrated through a real-life study of automatic electricity meter reading in the presence of noise. Thus, a cognitively-inspired non-connectionist approach to digit detection and recognition is introduced, which is subject to refinement through the iterative process of human-machine cooperation. The prototype system is evaluated with respect to the recognition accuracy (with the highest digit recognition accuracy of 94%), and also discussed with respect to the storage requirements, generalizability, utilized contextual information, and efficiency.  -threshold for digit detection in the pre-attentive processing stage, cf. Eq. (16) *  -threshold for graph-based segmentation in the attentive proc. stage, Sec. 2.3.2 * 2  -threshold for digit recognition in the attentive processing stage, cf. Eq. (19)*

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Virtualization for Cost-Effective Teaching of Assembly Language Programming

Cited by 10 publications

References 18 publications

The Microcomputer Application in Physical Principles Demonstration Model Design

The Microcomputer Application in Physical Principles Demonstration Model Design

Enriched Blended Learning through Virtual Experience in Microprocessors and Microcontrollers Course

Putting Humans Back in the Loop: A Study in Human-Machine Cooperative Learning

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