iOBE Workshop @ UPNM Engineering
I'm excited to announce the release of iOBE version 7.0, marking a significant upgrade from iOBE v6.2. This latest version leverages AI analysis, introduces substantial improvements in data visualization, data reporting, computational efficiency, and user experience, while maintaining full compatibility with older input files down to iOBE v6.1. The full version remains freely available to the public, especially for educational institutions seeking robust OBE solutions.
✔ Zoom in/out and pan graphs for a closer inspection of data points.📌 Additional Benefits of using MATLAB Figures
✔ Move and reposition legend boxes for improved clarity.
✔ Resize and refine graph appearances dynamically before exporting them.
✔ Save figures in multiple formats, including PNG, JPEG, PDF, and vector formats (EPS, EMF, SVG), ensuring compatibility with different publishing and reporting needs.
✔ Lossless resizing and scaling, especially useful when exporting figures for research papers, presentations, or reports.2️⃣ Improved Data Export to Excel
✔ Custom modifications, such as changing axis labels, gridlines, or line styles, even after the figure is generated.
✔ Multi-window support, allowing users to compare multiple datasets simultaneously.
✔ Student outcomes data at the course, multi-course, and program levels.This enhancement allows users to customize their own analysis, integrate data into reports, and use AI tools for deeper insights.
✔ Statistical data from box plots (median, quartiles, outliers).
✔ Population distribution data, capturing performance trends at both the course and program levels.
✔ Improved progress bar tracking: Users now receive detailed updates on the computation stages during software execution, giving them a clearer picture of ongoing processes.4️⃣ AI-Assisted Data Analysis Capability
✔ Reduced screen clutter: Data tables are now written directly into Excel files, eliminating unnecessary on-screen outputs and improving processing speed.
✔ Optimized computational processing: The back-end algorithm refinements enhance data processing speed and efficiency, ensuring faster computations and smoother operation.
🔹 AI-Driven Insights: The Excel files and visualization charts produced by iOBE contain a substantial amount of computed data. These files can be fed into AI tools like ChatGPT for detailed technical analysis using pattern recognition, statistical analysis, and advanced data analytics.5️⃣ User-Friendly Design
🔹 Enhanced Decision-Making & CQI: By analyzing iOBE-generated data with AI, educators can gain deeper insights into student performance trends, statistical distributions, and program outcomes. This facilitates better decision-making for Continuous Quality Improvement (CQI) in academic programs.
📌 Important Note: iOBE does not have built-in AI integration. However, its structured output files (Excel + graphs) are compact with detailed information and easily analyzable by AI tools, allowing users to extract more insights beyond what the software presents directly.
✔ Single-Click Operations – The software features a compact (and the one and only) control panel that users interact with to execute functions with a single click, making data processing effortless. (Shown below is the actual iOBE panel on a full desktop screen, against the background of a self-captured Kinabalu sunrise.)🖥️ Software Availability and Requirements
✔ Simple Input Files – iOBE is designed to work with straightforward input files, ensuring that users can operate the software with minimal setup.
✔ Offline Functionality – iOBE remains an offline tool, providing full data security and privacy, eliminating concerns about exposure to online threats or cloud dependencies, or slow server issues that can impact performance and accessibility.
✔ Comprehensive Documentation – The software is supported by detailed documentation, ensuring that users can easily understand its features, troubleshoot issues, and maximize its capabilities.
📌 Designed for Efficiency: These features make iOBE accessible to all users, from individual educators to institutional decision-makers, without requiring extensive training or technical expertise.
📌 The Download Links:🎯 Who Can Benefit from iOBE?
- iOBE Software Version 7.0
- MATLAB Runtime Compiler R2024b (24.2) for 64-bit Windows
- Software Manual v7.0
- Other Documentations
🖥️ System Requirements:
- Built using MATLAB R2024b (64-bit Windows OS).
- Requires the MATLAB R2024b compiler (included in the download link above).
- Can also run on Apple computers but requires a 64-bit Windows OS environment installed first.
✔ Lecturers and teachers can use iOBE for immediate insights into their students’ performance.📩 Contact for Training & Support
✔ Departments and institutions can integrate iOBE into their academic quality assurance processes.
✔ Education researchers can analyze trends in student achievement over time using iOBE’s robust statistical features.
✅ New MATLAB interactive figures for refined data visualization & export.Read more...
✅ Excel data export for student outcomes, statistics, and performance trends.
✅ Improved front-end processing with detailed progress updates.
✅ More efficient computational algorithms for faster performance.
✅ Full compatibility with older input files (iOBE v6.1+).
✅ AI-assisted analysis compatibility, allowing iOBE data to be analyzed with AI.
The Integrated OBE Software, or iOBE, is an award-winning software that provides applications relevant to tertiary academic programs to address the requirements of implementing Outcome-Based Education in Malaysia as well as other countries. The full version of the software is released as a free software for all academic institutions and can be downloaded here.
The OBE Framework has been fully adopted by all engineering programs in Malaysia since 2009 through the Washington Accord, an international agreement that mutually recognizes the quality of engineering graduates from member countries. Compliance with this Accord requires engineering programs in Malaysia, through their accreditation exercises with the national Engineering Accreditation Council (EAC), to assess students' learning outcomes more rigorously.
Non-engineering academic programs in Malaysia are bounded by OBE as well through their accreditation with the Malaysian Qualification Agency (MQA). As such, engineering and non-engineering academic programs in Malaysia must develop dedicated systems to manage and automate the processes of computing and integrating assessment data on different outcomes from multiple courses. The iOBE software is designed to meet these needs.
The software is designed to be very easy to use (with single-button clicks), computationally fast (within seconds to a few minutes), flexible in managing data, and robust in its mathematical formulations. It runs as a standalone offline software, eliminating online-related issues such as slow servers and data security breach. The image below shows the one and only windows panel that the user needs to interact with when using iOBE.